Backpropagation.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "# Backpropagation\n",
    "## Instructions\n",
    "\n",
    "In this assignment, you will train a neural network to draw a curve.\n",
    "The curve takes one input variable, the amount travelled along the curve from 0 to 1, and returns 2 outputs, the 2D coordinates of the position of points on the curve.\n",
    "\n",
    "To help capture the complexity of the curve, we shall use two hidden layers in our network with 6 and 7 neurons respectively.\n",
    "\n",
    "![Neural network with 2 hidden layers. There is 1 nodes in the zeroth layer, 6 in the first, 7 in the second, and 2 in the third.](readonly/bigNet.png \"The structure of the network we will consider in this assignment.\")\n",
    "\n",
    "You will be asked to complete functions that calculate the Jacobian of the cost function, with respect to the weights and biases of the network. Your code will form part of a stochastic steepest descent algorithm that will train your network.\n",
    "\n",
    "### Matrices in Python\n",
    "Recall from assignments in the previous course in this specialisation that matrices can be multiplied together in two ways.\n",
    "\n",
    "Element wise: when two matrices have the same dimensions, matrix elements in the same position in each matrix are multiplied together\n",
    "In python this uses the '$*$' operator.\n",
    "```python\n",
    "A = B * C\n",
    "```\n",
    "\n",
    "Matrix multiplication: when the number of columns in the first matrix is the same as the number of rows in the second.\n",
    "In python this uses the '$@$' operator\n",
    "```python\n",
    "A = B @ C\n",
    "```\n",
    "\n",
    "This assignment will not test which ones to use where, but it will use both in the starter code presented to you.\n",
    "There is no need to change these or worry about their specifics.\n",
    "\n",
    "### How to submit\n",
    "To complete the assignment, edit the code in the cells below where you are told to do so.\n",
    "Once you are finished and happy with it, press the **Submit Assignment** button at the top of this worksheet.\n",
    "Test your code using the cells at the bottom of the notebook before you submit.\n",
    "\n",
    "Please don't change any of the function names, as these will be checked by the grading script."
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Feed forward\n",
    "\n",
    "In the following cell, we will define functions to set up our neural network.\n",
    "Namely an activation function, $\\sigma(z)$, it's derivative, $\\sigma'(z)$, a function to initialise weights and biases, and a function that calculates each activation of the network using feed-forward.\n",
    "\n",
    "Recall the feed-forward equations,\n",
    "$$ \\mathbf{a}^{(n)} = \\sigma(\\mathbf{z}^{(n)}) $$\n",
    "$$ \\mathbf{z}^{(n)} = \\mathbf{W}^{(n)}\\mathbf{a}^{(n-1)} + \\mathbf{b}^{(n)} $$\n",
    "\n",
    "In this worksheet we will use the *logistic function* as our activation function, rather than the more familiar $\\tanh$.\n",
    "$$ \\sigma(\\mathbf{z}) = \\frac{1}{1 + \\exp(-\\mathbf{z})} $$\n",
    "\n",
    "There is no need to edit the following cells.\n",
    "They do not form part of the assessment.\n",
    "You may wish to study how it works though.\n",
    "\n",
    "**Run the following cells before continuing.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%run \"readonly/BackpropModule.ipynb\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# PACKAGE\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
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   "source": [
    "# PACKAGE\n",
    "# First load the worksheet dependencies.\n",
    "# Here is the activation function and its derivative.\n",
    "sigma = lambda z : 1 / (1 + np.exp(-z))\n",
    "d_sigma = lambda z : np.cosh(z/2)**(-2) / 4\n",
    "\n",
    "# This function initialises the network with it's structure, it also resets any training already done.\n",
    "def reset_network (n1 = 6, n2 = 7, random=np.random) :\n",
    "    global W1, W2, W3, b1, b2, b3\n",
    "    W1 = random.randn(n1, 1) / 2\n",
    "    W2 = random.randn(n2, n1) / 2\n",
    "    W3 = random.randn(2, n2) / 2\n",
    "    b1 = random.randn(n1, 1) / 2\n",
    "    b2 = random.randn(n2, 1) / 2\n",
    "    b3 = random.randn(2, 1) / 2\n",
    "\n",
    "# This function feeds forward each activation to the next layer. It returns all weighted sums and activations.\n",
    "def network_function(a0) :\n",
    "    z1 = W1 @ a0 + b1\n",
    "    a1 = sigma(z1)\n",
    "    z2 = W2 @ a1 + b2\n",
    "    a2 = sigma(z2)\n",
    "    z3 = W3 @ a2 + b3\n",
    "    a3 = sigma(z3)\n",
    "    return a0, z1, a1, z2, a2, z3, a3\n",
    "\n",
    "# This is the cost function of a neural network with respect to a training set.\n",
    "def cost(x, y) :\n",
    "    return np.linalg.norm(network_function(x)[-1] - y)**2 / x.size"
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Backpropagation\n",
    "\n",
    "In the next cells, you will be asked to complete functions for the Jacobian of the cost function with respect to the weights and biases.\n",
    "We will start with layer 3, which is the easiest, and work backwards through the layers.\n",
    "\n",
    "We'll define our Jacobians as,\n",
    "$$ \\mathbf{J}_{\\mathbf{W}^{(3)}} = \\frac{\\partial C}{\\partial \\mathbf{W}^{(3)}} $$\n",
    "$$ \\mathbf{J}_{\\mathbf{b}^{(3)}} = \\frac{\\partial C}{\\partial \\mathbf{b}^{(3)}} $$\n",
    "etc., where $C$ is the average cost function over the training set. i.e.,\n",
    "$$ C = \\frac{1}{N}\\sum_k C_k $$\n",
    "You calculated the following in the practice quizzes,\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{W}^{(3)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{z}^{(3)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(3)}}{\\partial \\mathbf{W}^{(3)}}\n",
    "   ,$$\n",
    "for the weight, and similarly for the bias,\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{b}^{(3)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{z}^{(3)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(3)}}{\\partial \\mathbf{b}^{(3)}}\n",
    "   .$$\n",
    "With the partial derivatives taking the form,\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}} = 2(\\mathbf{a}^{(3)} - \\mathbf{y}) $$\n",
    "$$ \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{z}^{(3)}} = \\sigma'({z}^{(3)})$$\n",
    "$$ \\frac{\\partial \\mathbf{z}^{(3)}}{\\partial \\mathbf{W}^{(3)}} = \\mathbf{a}^{(2)}$$\n",
    "$$ \\frac{\\partial \\mathbf{z}^{(3)}}{\\partial \\mathbf{b}^{(3)}} = 1$$\n",
    "\n",
    "We'll do the J_W3 ($\\mathbf{J}_{\\mathbf{W}^{(3)}}$) function for you, so you can see how it works.\n",
    "You should then be able to adapt the J_b3 function, with help, yourself."
   ]
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   "cell_type": "code",
   "execution_count": 4,
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    "# GRADED FUNCTION\n",
    "\n",
    "# Jacobian for the third layer weights. There is no need to edit this function.\n",
    "def J_W3 (x, y) :\n",
    "    # First get all the activations and weighted sums at each layer of the network.\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)\n",
    "    # We'll use the variable J to store parts of our result as we go along, updating it in each line.\n",
    "    # Firstly, we calculate dC/da3, using the expressions above.\n",
    "    J = 2 * (a3 - y)\n",
    "    # Next multiply the result we've calculated by the derivative of sigma, evaluated at z3.\n",
    "    J = J * d_sigma(z3)\n",
    "    # Then we take the dot product (along the axis that holds the training examples) with the final partial derivative,\n",
    "    # i.e. dz3/dW3 = a2\n",
    "    # and divide by the number of training examples, for the average over all training examples.\n",
    "    J = J @ a2.T / x.size\n",
    "    # Finally return the result out of the function.\n",
    "    return J\n",
    "\n",
    "# In this function, you will implement the jacobian for the bias.\n",
    "# As you will see from the partial derivatives, only the last partial derivative is different.\n",
    "# The first two partial derivatives are the same as previously.\n",
    "# ===YOU SHOULD EDIT THIS FUNCTION===\n",
    "def J_b3 (x, y) :\n",
    "    # As last time, we'll first set up the activations.\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)\n",
    "    # Next you should implement the first two partial derivatives of the Jacobian.\n",
    "    # ===COPY TWO LINES FROM THE PREVIOUS FUNCTION TO SET UP THE FIRST TWO JACOBIAN TERMS===\n",
    "    J = 2 * (a3 - y)\n",
    "    J = J * d_sigma(z3)\n",
    "    # For the final line, we don't need to multiply by dz3/db3, because that is multiplying by 1.\n",
    "    # We still need to sum over all training examples however.\n",
    "    # There is no need to edit this line.\n",
    "    J = np.sum(J, axis=1, keepdims=True) / x.size\n",
    "    return J"
   ]
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   "cell_type": "markdown",
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   "source": [
    "We'll next do the Jacobian for the Layer 2. The partial derivatives for this are,\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{W}^{(2)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\left(\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}}\n",
    "   \\right)\n",
    "   \\frac{\\partial \\mathbf{a}^{(2)}}{\\partial \\mathbf{z}^{(2)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(2)}}{\\partial \\mathbf{W}^{(2)}}\n",
    "   ,$$\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{b}^{(2)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\left(\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}}\n",
    "   \\right)\n",
    "   \\frac{\\partial \\mathbf{a}^{(2)}}{\\partial \\mathbf{z}^{(2)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(2)}}{\\partial \\mathbf{b}^{(2)}}\n",
    "   .$$\n",
    "This is very similar to the previous layer, with two exceptions:\n",
    "* There is a new partial derivative, in parentheses, $\\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}}$\n",
    "* The terms after the parentheses are now one layer lower.\n",
    "\n",
    "Recall the new partial derivative takes the following form,\n",
    "$$ \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}} =\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{z}^{(3)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(3)}}{\\partial \\mathbf{a}^{(2)}} =\n",
    "   \\sigma'(\\mathbf{z}^{(3)})\n",
    "   \\mathbf{W}^{(3)}\n",
    "$$\n",
    "\n",
    "To show how this changes things, we will implement the Jacobian for the weight again and ask you to implement it for the bias."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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   "source": [
    "# GRADED FUNCTION\n",
    "\n",
    "# Compare this function to J_W3 to see how it changes.\n",
    "# There is no need to edit this function.\n",
    "def J_W2 (x, y) :\n",
    "    #The first two lines are identical to in J_W3.\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)    \n",
    "    J = 2 * (a3 - y)\n",
    "    # the next two lines implement da3/da2, first σ' and then W3.\n",
    "    J = J * d_sigma(z3)\n",
    "    J = (J.T @ W3).T\n",
    "    # then the final lines are the same as in J_W3 but with the layer number bumped down.\n",
    "    J = J * d_sigma(z2)\n",
    "    J = J @ a1.T / x.size\n",
    "    return J\n",
    "\n",
    "# As previously, fill in all the incomplete lines.\n",
    "# ===YOU SHOULD EDIT THIS FUNCTION===\n",
    "def J_b2 (x, y) :\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)\n",
    "    J = 2 * (a3 - y)\n",
    "     # the next two lines implement da3/da2, first σ' and then W3.\n",
    "    J = J * d_sigma(z3)\n",
    "    J = (J.T @ W3).T\n",
    "    # then the final lines are the same as in J_W3 but with the layer number bumped down.\n",
    "    J = J * d_sigma(z2)\n",
    "    J = np.sum(J, axis=1, keepdims=True) / x.size\n",
    "    return J"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Layer 1 is very similar to Layer 2, but with an addition partial derivative term.\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{W}^{(1)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\left(\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}}\n",
    "   \\frac{\\partial \\mathbf{a}^{(2)}}{\\partial \\mathbf{a}^{(1)}}\n",
    "   \\right)\n",
    "   \\frac{\\partial \\mathbf{a}^{(1)}}{\\partial \\mathbf{z}^{(1)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(1)}}{\\partial \\mathbf{W}^{(1)}}\n",
    "   ,$$\n",
    "$$ \\frac{\\partial C}{\\partial \\mathbf{b}^{(1)}} =\n",
    "   \\frac{\\partial C}{\\partial \\mathbf{a}^{(3)}}\n",
    "   \\left(\n",
    "   \\frac{\\partial \\mathbf{a}^{(3)}}{\\partial \\mathbf{a}^{(2)}}\n",
    "   \\frac{\\partial \\mathbf{a}^{(2)}}{\\partial \\mathbf{a}^{(1)}}\n",
    "   \\right)\n",
    "   \\frac{\\partial \\mathbf{a}^{(1)}}{\\partial \\mathbf{z}^{(1)}}\n",
    "   \\frac{\\partial \\mathbf{z}^{(1)}}{\\partial \\mathbf{b}^{(1)}}\n",
    "   .$$\n",
    "You should be able to adapt lines from the previous cells to complete **both** the weight and bias Jacobian."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# GRADED FUNCTION\n",
    "\n",
    "# Fill in all incomplete lines.\n",
    "# ===YOU SHOULD EDIT THIS FUNCTION===\n",
    "def J_W1 (x, y) :\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)\n",
    "    J = 2*(a3-y)\n",
    "    J = J*d_sigma(z3)\n",
    "    J = (J.T @ W3).T\n",
    "    J = J*d_sigma(z2)\n",
    "    J = (J.T @ W2).T\n",
    "    J = J*d_sigma(z1)\n",
    "    J = J @ a0.T / x.size\n",
    "    return J\n",
    "\n",
    "# Fill in all incomplete lines.\n",
    "# ===YOU SHOULD EDIT THIS FUNCTION===\n",
    "def J_b1 (x, y) :\n",
    "    a0, z1, a1, z2, a2, z3, a3 = network_function(x)\n",
    "    J = 2*(a3-y)\n",
    "    J = J*d_sigma(z3)\n",
    "    J = (J.T @ W3).T\n",
    "    J = J*d_sigma(z2)\n",
    "    J = (J.T @ W2).T\n",
    "    J = J*d_sigma(z1)\n",
    "    J = np.sum(J, axis=1, keepdims=True) / x.size\n",
    "    return J"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test your code before submission\n",
    "To test the code you've written above, run all previous cells (select each cell, then press the play button [ ▶| ] or press shift-enter).\n",
    "You can then use the code below to test out your function.\n",
    "You don't need to submit these cells; you can edit and run them as much as you like."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we generate training data, and generate a network with randomly assigned weights and biases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x, y = training_data()\n",
    "reset_network()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, if you've implemented the assignment correctly, the following code will iterate through a steepest descent algorithm using the Jacobians you have calculated.\n",
    "The function will plot the training data (in green), and your neural network solutions in pink for each iteration, and orange for the last output.\n",
    "\n",
    "It takes about 50,000 iterations to train this network.\n",
    "We can split this up though - **10,000 iterations should take about a minute to run**.\n",
    "Run the line below as many times as you like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "    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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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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\" 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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training(x, y, iterations=50000, aggression=7, noise=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you wish, you can change parameters of the steepest descent algorithm (We'll go into more details in future exercises), but you can change how many iterations are plotted, how agressive the step down the Jacobian is, and how much noise to add.\n",
    "\n",
    "You can also edit the parameters of the neural network, i.e. to give it different amounts of neurons in the hidden layers by calling,\n",
    "```python\n",
    "reset_network(n1, n2)\n",
    "```\n",
    "\n",
    "Play around with the parameters, and save your favourite result for the discussion prompt - *I ❤️ backpropagation*."
   ]
  }
 ],
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