Unsupervised_learning_algorithm_MNIST.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This code illustrates the fast AI implementation of the unsupervised \"biological\" learning algorithm from [Unsupervised Learning by Competing Hidden Units](https://doi.org/10.1073/pnas.1820458116) on MNIST data set. \n",
    "If you want to learn more about this work you can also check out this [lecture](https://www.youtube.com/watch?v=4lY-oAY0aQU) from MIT's [6.S191 course](http://introtodeeplearning.com/). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This cell loads the data and normalizes it to the [0,1] range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.io\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "mat = scipy.io.loadmat('mnist_all.mat')\n",
    "\n",
    "Nc=10\n",
    "N=784\n",
    "Ns=60000\n",
    "M=np.zeros((0,N))\n",
    "for i in range(Nc):\n",
    "    M=np.concatenate((M, mat['train'+str(i)]), axis=0)\n",
    "M=M/255.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To draw a heatmap of the weights a helper function is created:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_weights(synapses, Kx, Ky):\n",
    "    yy=0\n",
    "    HM=np.zeros((28*Ky,28*Kx))\n",
    "    for y in range(Ky):\n",
    "        for x in range(Kx):\n",
    "            HM[y*28:(y+1)*28,x*28:(x+1)*28]=synapses[yy,:].reshape(28,28)\n",
    "            yy += 1\n",
    "    plt.clf()\n",
    "    nc=np.amax(np.absolute(HM))\n",
    "    im=plt.imshow(HM,cmap='bwr',vmin=-nc,vmax=nc)\n",
    "    fig.colorbar(im,ticks=[np.amin(HM), 0, np.amax(HM)])\n",
    "    plt.axis('off')\n",
    "    fig.canvas.draw()   \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This cell defines paramaters of the algorithm: `eps0` - initial learning rate that is linearly annealed during training; `hid` - number of hidden units that are displayed as an `Ky` by `Kx` array by the helper function defined above; `mu` - the mean of the gaussian distribution that initializes the weights; `sigma` - the standard deviation of that gaussian; `Nep` - number of epochs; `Num` - size of the minibatch; `prec` - parameter that controls numerical precision of the weight updates; `delta` - the strength of the anti-hebbian learning; `p` - Lebesgue norm of the weights; `k` - ranking parameter. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "eps0=2e-2    # learning rate\n",
    "Kx=10\n",
    "Ky=10\n",
    "hid=Kx*Ky    # number of hidden units that are displayed in Ky by Kx array\n",
    "mu=0.0\n",
    "sigma=1.0\n",
    "Nep=200      # number of epochs\n",
    "Num=100      # size of the minibatch\n",
    "prec=1e-30\n",
    "delta=0.4    # Strength of the anti-hebbian learning\n",
    "p=2.0        # Lebesgue norm of the weights\n",
    "k=2          # ranking parameter, must be integer that is bigger or equal than 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This cell defines the main code. The external loop runs over epochs `nep`, the internal loop runs over minibatches. For every minibatch the overlap with the data `tot_input` is calculated for each data point and each hidden unit. The sorted strengths of the activations are stored in `y`. The variable `yl` stores the activations of the post synaptic cells - it is denoted by g(Q) in Eq 3 of [Unsupervised Learning by Competing Hidden Units](https://doi.org/10.1073/pnas.1820458116), see also Eq 9 and Eq 10. The variable `ds` is the right hand side of Eq 3. The weights are updated after each minibatch in a way so that the largest update is equal to the learning rate `eps` at that epoch. The weights are displayed by the helper function after each epoch. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "        }\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",
       "        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=\"928.5\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%matplotlib notebook\n",
    "fig=plt.figure(figsize=(12.9,10))\n",
    "\n",
    "synapses = np.random.normal(mu, sigma, (hid, N))\n",
    "for nep in range(Nep):\n",
    "    eps=eps0*(1-nep/Nep)\n",
    "    M=M[np.random.permutation(Ns),:]\n",
    "    for i in range(Ns//Num):\n",
    "        inputs=np.transpose(M[i*Num:(i+1)*Num,:])\n",
    "        sig=np.sign(synapses)\n",
    "        tot_input=np.dot(sig*np.absolute(synapses)**(p-1),inputs)\n",
    "        \n",
    "        y=np.argsort(tot_input,axis=0)\n",
    "        yl=np.zeros((hid,Num))\n",
    "        yl[y[hid-1,:],np.arange(Num)]=1.0\n",
    "        yl[y[hid-k],np.arange(Num)]=-delta\n",
    "        \n",
    "        xx=np.sum(np.multiply(yl,tot_input),1)\n",
    "        ds=np.dot(yl,np.transpose(inputs)) - np.multiply(np.tile(xx.reshape(xx.shape[0],1),(1,N)),synapses)\n",
    "        \n",
    "        nc=np.amax(np.absolute(ds))\n",
    "        if nc<prec:\n",
    "            nc=prec\n",
    "        synapses += eps*np.true_divide(ds,nc)\n",
    "        \n",
    "    draw_weights(synapses, Kx, Ky)\n",
    "        "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}