{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Mltilayer Perceptron\n", "\n", "In the previous tutorial on linear SVMs, we looked at how training a model\n", "consists in defining a training objective, and then minimizing it with respect\n", "to model parameters by either stochastic or batch gradient descent.\n", "\n", "In this tutorial we will augment our SVM with _internal layers_ of _hidden\n", "units_ and turn our linear classifier into a multi-layer architecture.\n", "An MLP with one internal layer is sometimes called a _shallow_ architecture,\n", "in contrast to an MLP with more internal layers which is sometimes called a _deep_ architecture.\n", "\n", "An MLP can be viewed as an SVM, where the input $\\mathbf{x}$ is first transformed using a\n", "learnt non-linear vector-valued transformation $\\Phi$.\n", "The purpose of this transformation is to map the input data into a space where it becomes linearly separable.\n", "The vector $\\Phi(\\mathbf{x})$ is referred to as a _hidden layer_.\n", "\n", "This tutorial will again tackle the problem of MNIST digit classification." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import logging\n", "import sys, time\n", "import numpy as np\n", "from skdata import mnist\n", "import autodiff\n", "import util\n", "from sklearn import linear_model\n", "from sklearn import preprocessing\n", "from sklearn import grid_search\n", "\n", "%pylab inline" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "WARNING: pylab import has clobbered these variables: ['dtype']\n", "`%pylab --no-import-all` prevents importing * from pylab and numpy\n" ] } ], "prompt_number": 63 }, { "cell_type": "code", "collapsed": false, "input": [ "## load data\n", "\n", "dtype = 'float'\n", "nexamples = 10000\n", "nclasses = 10\n", "img_shape = (28, 28)\n", "\n", "data_view = mnist.views.OfficialImageClassification(x_dtype=dtype)\n", "x = data_view.all_images[:nexamples].reshape((nexamples, -1))\n", "y = data_view.all_labels[:nexamples]\n", "y1 = preprocessing.LabelBinarizer(neg_label = -1).fit_transform(y)\n", "x_normed = preprocessing.MinMaxScaler().fit_transform(x)\n", "\n", "x = x / 255.\n", "x_test = x_test / 255.\n", "print x.shape, y.shape, x_normed.shape, y1.shape\n", "\n", "\"\"\"\n", "dtype = 'float'\n", "nexamples = 10000\n", "train_idx = slice(0, nexamples)\n", "test_idx = slice(nexamples, nexamples*2)\n", "img_shape = (28, 28)\n", "nclasses = 10\n", "\n", "v = mnist.views.OfficialVectorClassification()\n", "x = v.all_vectors[train_idx].astype(dtype)\n", "y = v.all_labels[train_idx]\n", "x_test = v.all_vectors[test_idx].astype(dtype)\n", "y_test = v.all_labels[test_idx]\n", "\n", "## DONT USE MinMaxScaler or StandarizeScaler as they \n", "## do normalization individually for each feature\n", "#scaler = preprocessing.MinMaxScaler()\n", "#scaler.fit(v.all_vectors.astype(dtype))\n", "#x = scaler.transform(x)\n", "#x_test = scaler.transform(x)\n", "#x = x / 255.\n", "#x_test = x_test / 255.\n", "y1 = preprocessing.LabelBinarizer().fit_transform(y)\n", "y1_test = preprocessing.LabelBinarizer().fit_transform(y_test)\n", "\"\"\"\n", "print x.min(), x.max(), x_test.min(), x_test.max()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(10000, 784) (10000,) (10000, 784) (10000, 10)\n", "0.0 1.0 0.0 1.0\n" ] } ], "prompt_number": 70 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The MLP Model\n", "-------------\n", "\n", "Typically the function $\\Phi$ is taken to be the function $\\mathbf{R}^{D_0} \\rightarrow (-1, 1)^{D_1}$, where \n", "$$\n", "\\Phi(\\mathbf{x};V,\\mathbf{c}) = tanh(\\mathbf{x}V + \\mathbf{c})\n", "$$\n", "in which $V \\in \\mathbb{R}^{D_0 \\times D_1}$ is called a _weight matrix_, and\n", "$\\mathbf{c} \\in \\mathbb{R}^{D_1}$ is called a _bias vector_.\n", "The integer $D_0$ is the number of elements in $\\mathbf{x}$ (sometimes, number\n", "of \"input units\").\n", "The integer $D_1$ is the number of \"hidden units\" of the MLP.\n", "We abuse notation slightly here by using $\\tanh(\\mathbf{u})$ for a vector\n", "$\\mathbf{u}$ to denote\n", "the vector of values $\\tanh(\\mathbf{u}_i)$.\n", "Sometimes other non-linear scalar functions are used instead of the tanh\n", "function -- whichever one is used is called the _activation function_ of\n", "layer $\\Phi$." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def tanh_layer(V, c, x):\n", " \"\"\"\n", " V: nin * nhid, a group of column vectors\n", " c: nhid\n", " x: nsample * nin\n", " return: nsample * nhid\n", " \"\"\"\n", " return np.tanh(np.dot(x, V) + c)\n", "\n", "def ova_svm_prediction(W, b, x):\n", " return np.argmax(np.dot(x, W) + b, axis = 1)\n", "\n", "def ova_svm_cost(W, b, x, y1):\n", " margin = y1 * (np.dot(x, W) + b)\n", " cost = hinge(margin).mean(axis = 0).sum()\n", " return cost\n", "\n", "def hinge(margin):\n", " return np.maximum(0, 1 - margin)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 71 }, { "cell_type": "markdown", "metadata": {}, "source": [ "When combined with an SVM classifier (hinge loss + l2 regularization), the full classification model can be written as \n", "$$\n", "MLP(\\mathbf{x}) = SVM(\\Phi({\\mathbf{x}; V, \\mathbf{c}}); W, \\mathbf{b})\n", "$$\n", "\n", "A single hidden layer of this form is sufficient to make the MLP a universal approximator. However, we will see shortly that there are benefits of using many such hidden layers (deep learning). See these course notes for an [introducion to MLPs, BP and how to train them](http://www.iro.umontreal.ca/~pift6266/H10/notes/mlp.html)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def mlp_prediction(V, c, W, b, x):\n", " \"\"\"\n", " x (nsample * nin): input layer\n", " V (nin * nhid), c (nhid): hidden layer\n", " W (nhid * nout), b (nout): output layer\n", " return nsample * nout\n", " \"\"\"\n", " h = tanh_layer(V, c, x)\n", " return ova_svm_prediction(W, b, h)\n", "\n", "\n", "def mlp_cost(V, c, W, b, x, y1, alpha = 0.001):\n", " data_cost = ova_svm_cost(W, b, tanh_layer(V, c, x), y1)\n", " penalty = np.sum(V * V) + np.sum(W * W)\n", " return data_cost + alpha * penalty" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 72 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Training MLP\n", "----------\n", "To train an MLP, we learn **all** parameters of the model $(W, \\mathbf{b}, V, \\mathbf{c})$ by *gradient descent*. just as we learned the parameters $W, \\mathbf{b}$ previously when training the\n", "SVM.\n", "\n", "\n", "The initial values for the weights of a hidden layer ($V$) should be uniformly\n", "sampled from a symmetric interval that depends on the activation function.\n", "For the tanh activation function results obtained in [Xavier10]_ show that the\n", "interval should be\n", "$$\n", "\\left[ -\\sqrt{\\frac{6}{D_0 + D_1}}, \\sqrt{\\frac{6}{D_0 + D_1}} \\right]\n", "$$\n", "\n", "For the logistic sigmoid function $1 / (1 + e^{-u})$ the interval is slightly\n", "different:\n", "\n", "$$\n", "\\left[ -4\\sqrt{\\frac{6}{D_0 + D_1}},4\\sqrt{\\frac{6}{D_0 + D_1}} \\right]\n", "$$.\n", "\n", "This initialization ensures that at least early in training, each neuron operates in a regime of its activation function where information can easily be propagated both upward (activations flowing from inputs to outputs) and backward (gradients flowing from outputs to inputs)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "nin = np.product(img_shape)\n", "nhid = 10*10\n", "\n", "V0 = np.random.uniform(low = -np.sqrt(6. / (nin+nhid)), \n", " high = np.sqrt(6. / (nin+nhid)), \n", " size = (nin, nhid)).astype(x.dtype)\n", "c0 = np.zeros(nhid, dtype = x.dtype)\n", "\n", "## SVM on the top\n", "W0 = np.zeros((nhid, nclasses), dtype=x.dtype)\n", "b0 = np.zeros(nclasses, dtype=x.dtype)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 73 }, { "cell_type": "markdown", "metadata": {}, "source": [ "As before, we train this model using stochastic gradient descent with\n", "mini-batches. The difference is that we modify the cost function to include the\n", "regularization term. `L1_reg` and `L2_reg` are the hyperparameters\n", "controlling the weight of these regularization terms in the total cost function." ] }, { "cell_type": "code", "collapsed": false, "input": [ "## L-BFGS minimization\n", "#x = x_normed\n", "def batch_cost(V, c, W, b):\n", " return mlp_cost(V, c, W, b, x, y1, alpha=0)\n", "\n", "V, c, W, b = autodiff.optimize.fmin_l_bfgs_b(batch_cost, \n", " (V0, c0, W0, b0), \n", " maxfun = 20, \n", " m = 20, \n", " iprint = 1)\n", "print 'final cost', batch_cost(V, c, W, b)\n", "util.show_filters(V.T, img_shape, (10, 10))\n", "figure()\n", "util.show_filters(W.T, (10, 10), (2, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "final cost " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "0.808789949832\n" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAQMAAAD9CAYAAAC4PhIWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBu1qV7uA9s2gXe1q1z/0/wAGNq1Ojk2cmAAAAABJRU5ErkJggg==\n", "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAACdCAYAAACQJkKxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n", "text": [ "" ] } ], "prompt_number": 74 }, { "cell_type": "code", "collapsed": false, "input": [ "## test it on new sample\n", "\"\"\"\n", "test_idx = slice(nexamples, nexamples*2)\n", "x_test = data_view.all_images[test_idx].reshape((nexamples, -1))\n", "y_test = data_view.all_labels[test_idx]\n", "y1_test = preprocessing.LabelBinarizer(neg_label = -1).fit_transform(y_test)\n", "x_test_normed = preprocessing.MinMaxScaler().fit_transform(x_test)\n", "print x_test.shape, y_test.shape, x_test_normed.shape, y1_test.shape\n", "\"\"\"\n", "#x_test = x_test_normed\n", "yhat_test = mlp_prediction(V, c, W, b, x_test)\n", "yhat_train = mlp_prediction(V, c, W, b, x)\n", "print 'train accuracy:', np.mean(yhat_train == y)\n", "print 'test accuracy:', np.mean(yhat_test == y_test)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "train accuracy: 0.8689\n", "test accuracy: 0.8448\n" ] } ], "prompt_number": 75 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tips and Tricks for training MLPs\n", "\n", "There are several hyper-parameters in the above code, which are not (and,\n", "generally speaking, cannot be) optimized by gradient descent.\n", "The design of outer-loop algorithms for optimizing them is a topic of ongoing\n", "research.\n", "Over the last 25 years, researchers have devised various rules of thumb for choosing them.\n", "A very good overview of these tricks can be found in [Efficient\n", "BackProp](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf) by Yann LeCun,\n", "Leon Bottou, Genevieve Orr, and Klaus-Robert Mueller. Here, we summarize\n", "the same issues, with an emphasis on the parameters and techniques that we\n", "actually used in our code.\n", "\n", "### Tips and Tricks: Nonlinearity\n", "\n", "Which non-linear activation function should you use in a neural network?\n", "Two of the most common ones are the logistic sigmoid and the tanh functions.\n", "For reasons explained in [Section 4.4](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf), nonlinearities that\n", "are symmetric around the origin are preferred because they tend to produce\n", "zero-mean inputs to the next layer (which is a desirable property).\n", "Empirically, we have observed that the tanh has better convergence properties.\n", "\n", "\n", "### Tips and Tricks: Weight initialization\n", "\n", "At initialization we want the weights to be small enough around the origin\n", "so that the activation function operates near its linear regime, where gradients are\n", "the largest. Otherwise, the gradient signal used for learning is attenuated by\n", "each layer as it is propagated from the classifier towards the inputs.\n", "Other desirable properties, especially for deep networks,\n", "are to conserve variance of the activation as well as variance of back-propagated gradients from layer to layer.\n", "This allows information to flow well upward and downward in the network and\n", "reduces discrepancies between layers.\n", "The initialization used above represents a good compromise between these two\n", "constraints.\n", "For mathematical considerations, please refer to [Xavier10]_.\n", "\n", "\n", "### Tips and Tricks: Learning Rate\n", "\n", "Optimization by stochastic gradient descent is very sensitive to the step size or _learning rate_.\n", "There is a great deal of literature on how to choose a the learning rate, and how to change it during optimization.\n", "The simplest solution is to use a constant rate. Rule of thumb: try\n", "several log-spaced values ($10^{-1}, 10^{-2}, \\ldots$) and narrow the\n", "(logarithmic) grid search to the region where you obtain the lowest\n", "validation error.\n", "\n", "Decreasing the learning rate over time can help a model to settle down into a\n", "[local] minimum.\n", "One simple rule for doing that is $\\frac{\\mu_0}{1 + d\\times t}$ where\n", "$\\mu_0$ is the initial rate (chosen, perhaps, using the grid search\n", "technique explained above), $d$ is a so-called \"decrease constant\"\n", "which controls the rate at which the learning rate decreases (typically, a\n", "smaller positive number, $10^{-3}$ and smaller) and $t$ is the epoch/stage.\n", "\n", "[Section 4.7](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf) details\n", "procedures for choosing a learning rate for each parameter (weight) in our\n", "network and for choosing them adaptively based on the error of the classifier.\n", "\n", "### Tips and Tricks: Number of hidden units\n", "\n", "The number of hidden units that gives best results is dataset-dependent.\n", "Generally speaking, the more complicated the input distribution is, the more capacity the network\n", "will require to model it, and so the larger the number of hidden units thatwill be needed (note that the number of weights in a layer, perhaps a more direct\n", "measure of capacity, is $D_0\\times D_1$ (recall $D_0$ is the number of inputs and\n", "$D_1$ is the number of hidden units).\n", "\n", "Unless we employ some regularization scheme (early stopping or L1/L2\n", "penalties), a typical number of hidden units vs. generalization performance graph will be U-shaped.\n", "\n", "### Tips and Tricks: Norm Regularization\n", "\n", "Typical values to try for the L1/L2 regularization parameter $\\lambda$ are $10^{-2}, 10^{-3}, \\ldots$.\n", "It can be useful to regularize the topmost layers in an MLP (closest\n", "to and including the classifier itself) to prevent them from overfitting noisy\n", "hidden layer features, and to encourage the features themselves to be more\n", "discriminative." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Convolutional Networks\n", "\n", "This notebook has been adapted from the\n", "[Deep Learning Tutorials: Convolutional Neural Network](http://deeplearning.net/tutorial/lenet.html)\n", "\n", "\n", "Convolutional Neural Networks (ConvNets) are MLP variants which are\n", "specialized for image processing.\n", "From Hubel and Wiesel's early work on the cat's visual cortex [Hubel68]_,\n", "we know there exists a complex arrangement of cells within the visual cortex.\n", "These cells are sensitive to small sub-regions of the input space, called a\n", "_receptive field_, and are tiled in such a way as to cover the entire visual\n", "field. These filters are local in input space and are thus better suited to\n", "exploit the strong spatially local correlation present in natural images.\n", "\n", "Additionally, two basic cell types have been identified: simple cells (S) and\n", "complex cells (C). Simple cells (S) respond maximally to specific edge-like\n", "stimulus patterns within their receptive field. Complex cells (C) have larger\n", "receptive fields and are locally invariant to the exact position of the\n", "stimulus." ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }