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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![1_KQVi812_aERFRolz_5G3rA%202.gif](attachment:1_KQVi812_aERFRolz_5G3rA%202.gif)"
   ]
  },
  {
   "attachments": {
    "Screenshot%202019-10-02%20at%2018.16.38.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%202019-10-02%20at%2018.16.38.png](attachment:Screenshot%202019-10-02%20at%2018.16.38.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import sys\n",
    "import numpy as np  \n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt  \n",
    "import seaborn as sns  \n",
    "from matplotlib import cm\n",
    "from matplotlib.colors import colorConverter, ListedColormap\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "np.random.seed(seed=13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.random.uniform(0, 1, 20)\n",
    "\n",
    "def f(x): \n",
    "    return x * 2\n",
    "\n",
    "noise_variance = 0.2  \n",
    "noise = np.random.randn(x.shape[0]) * noise_variance\n",
    "t = f(x) + noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 3))\n",
    "plt.plot(x, t, 'o', label='$t$')\n",
    "plt.plot([0, 1], [f(0), f(1)], 'b--', label='$f(x)$')\n",
    "plt.xlabel('$x$', fontsize=12)\n",
    "plt.ylabel('$t$', fontsize=12)\n",
    "plt.axis((0, 1, 0, 2))\n",
    "plt.title('x t')\n",
    "plt.legend(loc=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\mathbf{y} = \\mathbf{x} * w$ \n",
    "\n",
    "$\\xi = \\frac{1}{N} \\sum_{i=1}^{N} \\Vert t_i - y_i \\Vert ^2$  \n",
    "\n",
    "\n",
    "$\\underset{w}{\\text{argmin}} \\frac{1}{N} \\sum_{i=1}^{N} \\Vert t_i - y_i \\Vert^2$.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def nn(x, w):\n",
    "    return x * w\n",
    "\n",
    "\n",
    "def loss(y, t):\n",
    "    return np.mean((t - y)**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ws = np.linspace(0, 4, num=100)  \n",
    "loss_ws = np.vectorize(lambda w: loss(nn(x, w) , t))(ws)\n",
    "\n",
    "plt.figure(figsize=(5, 3))\n",
    "plt.plot(ws, loss_ws, 'r--', label='loss')\n",
    "plt.xlabel('$w$', fontsize=12)\n",
    "plt.ylabel('$\\\\xi$', fontsize=12)\n",
    "plt.title('loss function')\n",
    "plt.xlim(0, 4)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "w(k+1) = w(k) - \\Delta w(k)\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\Delta w = \\mu \\frac{\\partial \\xi}{\\partial w}\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial \\xi_i}{\\partial w} = \\frac{\\partial \\xi_i}{\\partial y_i} \\frac{\\partial y_i}{\\partial w}\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial \\xi_i}{\\partial y_i} = \\frac{\\partial (t_i - y_i)^2}{\\partial y_i} = - 2 (t_i - y_i) = 2 (y_i - t_i)\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial y_i}{\\partial w} = \\frac{\\partial (x_i \\cdot w)}{\\partial w} = x_i\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\Delta w = \\mu \\cdot \\frac{\\partial \\xi_i}{\\partial w} = \\mu \\cdot 2 x_i (y_i - t_i)\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\Delta w = \\mu * 2 * \\frac{1}{N} \\sum_{i=1}^{N} x_i (y_i - t_i)\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "w(0): 0.1380 \t loss: 1.3710\n",
      "w(1): 1.3722 \t loss: 0.2174\n",
      "w(2): 1.8205 \t loss: 0.0651\n",
      "w(3): 1.9834 \t loss: 0.0451\n",
      "w(4): 2.0426 \t loss: 0.0424\n"
     ]
    }
   ],
   "source": [
    "def gradient(w, x, t):\n",
    "    \"\"\"y = nn(x, w) = x * w)\"\"\"\n",
    "    return 2 * x * (nn(x, w) - t)\n",
    "\n",
    "\n",
    "def delta_w(w_k, x, t, learning_rate):\n",
    "    return learning_rate * np.mean(gradient(w_k, x, t))\n",
    "\n",
    "w = np.random.rand()\n",
    "learning_rate = 0.9\n",
    "\n",
    "nb_of_iterations = 4  \n",
    "w_loss = [(w, loss(nn(x, w), t))] \n",
    "for i in range(nb_of_iterations):\n",
    "    dw = delta_w(w, x, t, learning_rate)  \n",
    "    w = w - dw  \n",
    "    w_loss.append((w, loss(nn(x, w), t))) \n",
    "\n",
    "for i in range(0, len(w_loss)):\n",
    "    print(f'w({i}): {w_loss[i][0]:.4f} \\t loss: {w_loss[i][1]:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "plt.plot(ws, loss_ws, 'r--', label='loss')  # Loss curve\n",
    "for i in range(0, len(w_loss)-1):\n",
    "    w1, c1 = w_loss[i]\n",
    "    w2, c2 = w_loss[i+1]\n",
    "    plt.plot(w1, c1, 'bo')\n",
    "    plt.plot([w1, w2],[c1, c2], 'b-')\n",
    "    plt.text(w1, c1+0.05, f'${i}$')\n",
    "plt.plot(w2, c2, 'bo', label='$w(k)$')\n",
    "plt.text(w2, c2+0.05, f'${i+1}$')\n",
    "plt.xlabel('$w$', fontsize=12)\n",
    "plt.ylabel('$\\\\xi$', fontsize=12)\n",
    "plt.xlim(0, 4)\n",
    "plt.legend(loc=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "w = np.random.rand()\n",
    "nb_of_iterations = 10  \n",
    "for i in range(nb_of_iterations):\n",
    "    dw = delta_w(w, x, t, learning_rate)  \n",
    "    w = w - dw  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "plt.plot(x, t, 'o', label='$t$')\n",
    "plt.plot([0, 1], [f(0), f(1)], 'b--', label='$f(x)$')\n",
    "plt.plot([0, 1], [0*w, 1*w], 'r-', label='$y = w * x$')\n",
    "plt.xlabel('$x$', fontsize=12)\n",
    "plt.ylabel('$t$', fontsize=12)\n",
    "plt.title('input vs target')\n",
    "plt.legend(loc=2)\n",
    "plt.ylim(0, 2)\n",
    "plt.xlim(0, 1)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "Screenshot%202019-10-02%20at%2018.26.01.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%202019-10-02%20at%2018.26.01.png](attachment:Screenshot%202019-10-02%20at%2018.26.01.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nb_of_samples_per_class = 20  \n",
    "red_mean = (-1., 0.)  \n",
    "blue_mean = (1., 0.)  \n",
    "x_red = np.random.randn(nb_of_samples_per_class, 2) + red_mean\n",
    "x_blue = np.random.randn(nb_of_samples_per_class, 2)  + blue_mean\n",
    "\n",
    "X = np.vstack((x_red, x_blue))\n",
    "t = np.vstack((np.zeros((nb_of_samples_per_class,1)), \n",
    "               np.ones((nb_of_samples_per_class,1))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "plt.plot(x_red[:,0], x_red[:,1], 'r*', label='class: красная звезда')\n",
    "plt.plot(x_blue[:,0], x_blue[:,1], 'bo', label='class: синий круг')\n",
    "plt.legend(loc=2)\n",
    "plt.xlabel('$x_1$', fontsize=12)\n",
    "plt.ylabel('$x_2$', fontsize=12)\n",
    "plt.axis([-3, 4, -4, 4])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$y_i = \\sigma(\\mathbf{x}_i \\cdot \\mathbf{w}^T)$\n",
    "\n",
    "\n",
    "$$ \\sigma(z) = \\frac{1}{1+e^{-z}} $$\n",
    "\n",
    "$$ \\xi(t_i,y_i) = -t_i log(y_i) - (1-t_i)log(1-y_i) $$\n",
    "\n",
    "$\\xi(t,y) = - \\frac{1}{N} \\sum_{i=1}^{n} \\left[ t_i log(y_i) + (1-t_i)log(1-y_i) \\right]$ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def logistic(z): \n",
    "    return 1. / (1 + np.exp(-z))\n",
    "\n",
    "#y = 1 / (1 + numpy.exp(-x*w))\n",
    "def nn(x, w): \n",
    "    return logistic(x.dot(w.T))\n",
    "\n",
    "def nn_predict(x,w): \n",
    "    return np.around(nn(x,w))\n",
    "    \n",
    "def loss(y, t):\n",
    "    return - np.mean(\n",
    "        np.multiply(t, np.log(y)) + np.multiply((1-t), np.log(1-y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_of_ws = 100 \n",
    "wsa = np.linspace(-5, 5, num=nb_of_ws) \n",
    "wsb = np.linspace(-5, 5, num=nb_of_ws) \n",
    "ws_x, ws_y = np.meshgrid(wsa, wsb)\n",
    "loss_ws = np.zeros((nb_of_ws, nb_of_ws)) \n",
    "for i in range(nb_of_ws):\n",
    "    for j in range(nb_of_ws):\n",
    "        loss_ws[i,j] = loss(\n",
    "            nn(X, np.asmatrix([ws_x[i,j], ws_y[i,j]])) , t)\n",
    "plt.figure(figsize=(6, 4))\n",
    "plt.contourf(ws_x, ws_y, loss_ws, 20, cmap=cm.viridis)\n",
    "cbar = plt.colorbar()\n",
    "cbar.ax.set_ylabel('$\\\\xi$', fontsize=12)\n",
    "plt.xlabel('$w_1$', fontsize=12)\n",
    "plt.ylabel('$w_2$', fontsize=12)\n",
    "plt.title('Loss function')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\\mathbf{w}(k+1) = \\mathbf{w}(k) - \\Delta \\mathbf{w}(k+1)$.\n",
    "\n",
    "$\\Delta \\mathbf{w} = \\mu \\frac{\\partial \\xi}{\\partial \\mathbf{w}}$\n",
    "\n",
    "${\\partial \\xi_i}/{\\partial \\mathbf{w}}$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial \\xi_i}{\\partial \\mathbf{w}} = \\frac{\\partial \\xi_i}{\\partial y_i} \\frac{\\partial y_i}{\\partial z_i} \\frac{\\partial z_i}{\\partial \\mathbf{w}}\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial \\xi_i}{\\partial y_i} = \\frac{y_i - t_i}{y_i (1 - y_i)}\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial y_i}{\\partial z_i} = y_i (1 - y_i)\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial z_i}{\\partial \\mathbf{w}} = \\frac{\\partial (\\mathbf{x}_i \\cdot \\mathbf{w})}{\\partial \\mathbf{w}} = \\mathbf{x}_i\n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\frac{\\partial \\xi_i}{\\partial \\mathbf{w}} \n",
    "= \\frac{\\partial \\xi_i}{\\partial y_i} \\frac{\\partial y_i}{\\partial z_i} \\frac{\\partial z_i}{\\partial \\mathbf{w}} \n",
    "= \\mathbf{x}_i \\cdot y_i (1 - y_i) \\cdot \\frac{y_i - t_i}{y_i (1-y_i)} \n",
    "= \\mathbf{x}_i \\cdot (y_i-t_i) \n",
    "$$\n",
    "\n",
    "\n",
    "$$\n",
    "\\Delta \\mathbf{w} = \\mu \\cdot \\frac{\\partial \\xi_i}{\\partial \\mathbf{w}} = \\mu \\cdot \\mathbf{x}_i \\cdot (y_i - t_i)\n",
    "$$\n",
    "\n",
    "\n",
    "$$\\Delta \\mathbf{w} = \\mu \\cdot \\frac{1}{N} \\sum_{i=1}^{N} \\mathbf{x}_i (y_i - t_i)$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def gradient(w, x, t):\n",
    "    return (nn(x, w) - t).T * x\n",
    "\n",
    " \n",
    "def delta_w(w_k, x, t, learning_rate):\n",
    "    return learning_rate * gradient(w_k, x, t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "w = np.asmatrix([-4, -2])  \n",
    "learning_rate = 0.05\n",
    "\n",
    "nb_of_iterations = 10  \n",
    "w_iter = [w]  \n",
    "for i in range(nb_of_iterations):\n",
    "    dw = delta_w(w, X, t, learning_rate)  \n",
    "    w = w - dw  \n",
    "    w_iter.append(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "plt.contourf(ws_x, ws_y, loss_ws, 20, alpha=0.9, cmap=cm.viridis)\n",
    "cbar = plt.colorbar()\n",
    "cbar.ax.set_ylabel('loss')\n",
    "\n",
    "for i in range(1, 4): \n",
    "    w1 = w_iter[i-1]\n",
    "    w2 = w_iter[i]\n",
    "    plt.plot(w1[0,0], w1[0,1], 'ko')  \n",
    "    plt.plot([w1[0,0], w2[0,0]], [w1[0,1], w2[0,1]], 'k-')\n",
    "    plt.text(w1[0,0]-0.2, w1[0,1]+0.4, f'$w({i-1})$', color='k')\n",
    "w1 = w_iter[3]  \n",
    "plt.plot(w1[0,0], w1[0,1], 'ko')\n",
    "plt.text(w1[0,0]-0.2, w1[0,1]+0.4, f'$w({i})$', color='k') \n",
    "plt.xlabel('$w_1$', fontsize=12)\n",
    "plt.ylabel('$w_2$', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "\n",
    "nb_of_xs = 200\n",
    "xsa = np.linspace(-4, 4, num=nb_of_xs)\n",
    "xsb = np.linspace(-4, 4, num=nb_of_xs)\n",
    "xx, yy = np.meshgrid(xsa, xsb) \n",
    "classification_plane = np.zeros((nb_of_xs, nb_of_xs))\n",
    "for i in range(nb_of_xs):\n",
    "    for j in range(nb_of_xs):\n",
    "        classification_plane[i,j] = nn_predict(\n",
    "            np.asmatrix([xx[i,j], yy[i,j]]) , w)\n",
    "cmap = ListedColormap([\n",
    "        colorConverter.to_rgba('r', alpha=0.3),\n",
    "        colorConverter.to_rgba('b', alpha=0.3)])\n",
    "\n",
    "plt.contourf(xx, yy, classification_plane, cmap=cmap)\n",
    "plt.plot(x_red[:,0], x_red[:,1], 'r*', label='target красная звезда')\n",
    "plt.plot(x_blue[:,0], x_blue[:,1], 'bo', label='target синий круг')\n",
    "plt.legend(loc=2)\n",
    "plt.xlabel('$x_1$', fontsize=12)\n",
    "plt.ylabel('$x_2$', fontsize=12)\n",
    "plt.axis([-3, 4, -4, 4])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}