{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Implementing a Neural Network\n", "In this exercise we will develop a neural network with fully-connected layers to perform classification, and test it out on the CIFAR-10 dataset." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# A bit of setup\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from cs231n.classifiers.neural_net import TwoLayerNet\n", "\n", "%matplotlib inline\n", "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n", "plt.rcParams['image.interpolation'] = 'nearest'\n", "plt.rcParams['image.cmap'] = 'gray'\n", "\n", "# for auto-reloading external modules\n", "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "def rel_error(x, y):\n", " \"\"\" returns relative error \"\"\"\n", " return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use the class `TwoLayerNet` in the file `cs231n/classifiers/neural_net.py` to represent instances of our network. The network parameters are stored in the instance variable `self.params` where keys are string parameter names and values are numpy arrays. Below, we initialize toy data and a toy model that we will use to develop your implementation." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Create a small net and some toy data to check your implementations.\n", "# Note that we set the random seed for repeatable experiments.\n", "\n", "input_size = 4\n", "hidden_size = 10\n", "num_classes = 3\n", "num_inputs = 5\n", "\n", "def init_toy_model():\n", " np.random.seed(0)\n", " return TwoLayerNet(input_size, hidden_size, num_classes, std=1e-1)\n", "\n", "def init_toy_data():\n", " np.random.seed(1)\n", " X = 10 * np.random.randn(num_inputs, input_size)\n", " y = np.array([0, 1, 2, 2, 1])\n", " return X, y\n", "\n", "net = init_toy_model()\n", "X, y = init_toy_data()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Forward pass: compute scores\n", "Open the file `cs231n/classifiers/neural_net.py` and look at the method `TwoLayerNet.loss`. This function is very similar to the loss functions you have written for the SVM and Softmax exercises: It takes the data and weights and computes the class scores, the loss, and the gradients on the parameters. \n", "\n", "Implement the first part of the forward pass which uses the weights and biases to compute the scores for all inputs." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Your scores:\n", "[[-0.81233741 -1.27654624 -0.70335995]\n", " [-0.17129677 -1.18803311 -0.47310444]\n", " [-0.51590475 -1.01354314 -0.8504215 ]\n", " [-0.15419291 -0.48629638 -0.52901952]\n", " [-0.00618733 -0.12435261 -0.15226949]]\n", "\n", "correct scores:\n", "[[-0.81233741 -1.27654624 -0.70335995]\n", " [-0.17129677 -1.18803311 -0.47310444]\n", " [-0.51590475 -1.01354314 -0.8504215 ]\n", " [-0.15419291 -0.48629638 -0.52901952]\n", " [-0.00618733 -0.12435261 -0.15226949]]\n", "\n", "Difference between your scores and correct scores:\n", "3.68027207103e-08\n" ] } ], "source": [ "scores = net.loss(X)\n", "print 'Your scores:'\n", "print scores\n", "print\n", "print 'correct scores:'\n", "correct_scores = np.asarray([\n", " [-0.81233741, -1.27654624, -0.70335995],\n", " [-0.17129677, -1.18803311, -0.47310444],\n", " [-0.51590475, -1.01354314, -0.8504215 ],\n", " [-0.15419291, -0.48629638, -0.52901952],\n", " [-0.00618733, -0.12435261, -0.15226949]])\n", "print correct_scores\n", "print\n", "\n", "# The difference should be very small. We get < 1e-7\n", "print 'Difference between your scores and correct scores:'\n", "print np.sum(np.abs(scores - correct_scores))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Forward pass: compute loss\n", "In the same function, implement the second part that computes the data and regularizaion loss." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Difference between your loss and correct loss:\n", "1.79412040779e-13\n" ] } ], "source": [ "loss, _ = net.loss(X, y, reg=0.1)\n", "correct_loss = 1.30378789133\n", "\n", "# should be very small, we get < 1e-12\n", "print 'Difference between your loss and correct loss:'\n", "print np.sum(np.abs(loss - correct_loss))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Backward pass\n", "Implement the rest of the function. This will compute the gradient of the loss with respect to the variables `W1`, `b1`, `W2`, and `b2`. Now that you (hopefully!) have a correctly implemented forward pass, you can debug your backward pass using a numeric gradient check:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "W1 max relative error: 3.669857e-09\n", "W2 max relative error: 3.440708e-09\n", "b2 max relative error: 4.447677e-11\n", "b1 max relative error: 2.738421e-09\n" ] } ], "source": [ "from cs231n.gradient_check import eval_numerical_gradient\n", "\n", "# Use numeric gradient checking to check your implementation of the backward pass.\n", "# If your implementation is correct, the difference between the numeric and\n", "# analytic gradients should be less than 1e-8 for each of W1, W2, b1, and b2.\n", "\n", "loss, grads = net.loss(X, y, reg=0.1)\n", "\n", "# these should all be less than 1e-8 or so\n", "for param_name in grads:\n", " f = lambda W: net.loss(X, y, reg=0.1)[0]\n", " param_grad_num = eval_numerical_gradient(f, net.params[param_name], verbose=False)\n", " print '%s max relative error: %e' % (param_name, rel_error(param_grad_num, grads[param_name]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Train the network\n", "To train the network we will use stochastic gradient descent (SGD), similar to the SVM and Softmax classifiers. Look at the function `TwoLayerNet.train` and fill in the missing sections to implement the training procedure. This should be very similar to the training procedure you used for the SVM and Softmax classifiers. You will also have to implement `TwoLayerNet.predict`, as the training process periodically performs prediction to keep track of accuracy over time while the network trains.\n", "\n", "Once you have implemented the method, run the code below to train a two-layer network on toy data. You should achieve a training loss less than 0.2." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Final training loss: 0.0171496079387\n" ] }, { "data": { "image/png": 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XHuxeAQsAABiVSelgHZZBKFub5GuHutYQQQAAYFSmImAl+cV0wwzfcagLb7ll9MUAAACz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\nPBLe/34nxZAkSdLQYcBSv5o1Cz7/+Tw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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "net = init_toy_model()\n", "stats = net.train(X, y, X, y,\n", " learning_rate=1e-1, reg=1e-5,\n", " num_iters=100, verbose=False)\n", "\n", "print 'Final training loss: ', stats['loss_history'][-1]\n", "\n", "# plot the loss history\n", "plt.plot(stats['loss_history'])\n", "plt.xlabel('iteration')\n", "plt.ylabel('training loss')\n", "plt.title('Training Loss history')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Load the data\n", "Now that you have implemented a two-layer network that passes gradient checks and works on toy data, it's time to load up our favorite CIFAR-10 data so we can use it to train a classifier on a real dataset." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train data shape: (49000, 3072)\n", "Train labels shape: (49000,)\n", "Validation data shape: (1000, 3072)\n", "Validation labels shape: (1000,)\n", "Test data shape: (1000, 3072)\n", "Test labels shape: (1000,)\n" ] } ], "source": [ "from cs231n.data_utils import load_CIFAR10\n", "\n", "def get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000):\n", " \"\"\"\n", " Load the CIFAR-10 dataset from disk and perform preprocessing to prepare\n", " it for the two-layer neural net classifier. These are the same steps as\n", " we used for the SVM, but condensed to a single function. \n", " \"\"\"\n", " # Load the raw CIFAR-10 data\n", " cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n", " X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n", " \n", " # Subsample the data\n", " mask = range(num_training, num_training + num_validation)\n", " X_val = X_train[mask]\n", " y_val = y_train[mask]\n", " mask = range(num_training)\n", " X_train = X_train[mask]\n", " y_train = y_train[mask]\n", " mask = range(num_test)\n", " X_test = X_test[mask]\n", " y_test = y_test[mask]\n", "\n", " # Normalize the data: subtract the mean image\n", " mean_image = np.mean(X_train, axis=0)\n", " X_train -= mean_image\n", " X_val -= mean_image\n", " X_test -= mean_image\n", "\n", " # Reshape data to rows\n", " X_train = X_train.reshape(num_training, -1)\n", " X_val = X_val.reshape(num_validation, -1)\n", " X_test = X_test.reshape(num_test, -1)\n", "\n", " return X_train, y_train, X_val, y_val, X_test, y_test\n", "\n", "\n", "# Invoke the above function to get our data.\n", "X_train, y_train, X_val, y_val, X_test, y_test = get_CIFAR10_data()\n", "print 'Train data shape: ', X_train.shape\n", "print 'Train labels shape: ', y_train.shape\n", "print 'Validation data shape: ', X_val.shape\n", "print 'Validation labels shape: ', y_val.shape\n", "print 'Test data shape: ', X_test.shape\n", "print 'Test labels shape: ', y_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Train a network\n", "To train our network we will use SGD with momentum. In addition, we will adjust the learning rate with an exponential learning rate schedule as optimization proceeds; after each epoch, we will reduce the learning rate by multiplying it by a decay rate." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration 0 / 1000: loss 2.302954\n", "iteration 100 / 1000: loss 2.302550\n", "iteration 200 / 1000: loss 2.297648\n", "iteration 300 / 1000: loss 2.259602\n", "iteration 400 / 1000: loss 2.204170\n", "iteration 500 / 1000: loss 2.118565\n", "iteration 600 / 1000: loss 2.051535\n", "iteration 700 / 1000: loss 1.988466\n", "iteration 800 / 1000: loss 2.006591\n", "iteration 900 / 1000: loss 1.951473\n", "Validation accuracy: 0.287\n" ] } ], "source": [ "input_size = 32 * 32 * 3\n", "hidden_size = 50\n", "num_classes = 10\n", "net = TwoLayerNet(input_size, hidden_size, num_classes)\n", "\n", "# Train the network\n", "stats = net.train(X_train, y_train, X_val, y_val,\n", " num_iters=1000, batch_size=200,\n", " learning_rate=1e-4, learning_rate_decay=0.95,\n", " reg=0.5, verbose=True)\n", "\n", "# Predict on the validation set\n", "val_acc = (net.predict(X_val) == y_val).mean()\n", "print 'Validation accuracy: ', val_acc\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Debug the training\n", "With the default parameters we provided above, you should get a validation accuracy of about 0.29 on the validation set. This isn't very good.\n", "\n", "One strategy for getting insight into what's wrong is to plot the loss function and the accuracies on the training and validation sets during optimization.\n", "\n", "Another strategy is to visualize the weights that were learned in the first layer of the network. In most neural networks trained on visual data, the first layer weights typically show some visible structure when visualized." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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iQ4cG277/vtv3RZ+1snbt6KOB666LfcyM0NpqRWn+r9LVJWGg//xnz+73r38B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\nQWzAgOyaYi1hw8YNPP7q44ypHsMzbzxDz049ufZL1/KtQd+ie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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the loss function and train / validation accuracies\n", "plt.subplot(2, 1, 1)\n", "plt.plot(stats['loss_history'])\n", "plt.title('Loss history')\n", "plt.xlabel('Iteration')\n", "plt.ylabel('Loss')\n", "\n", "plt.subplot(2, 1, 2)\n", "plt.plot(stats['train_acc_history'], label='train')\n", "plt.plot(stats['val_acc_history'], label='val')\n", "plt.title('Classification accuracy history')\n", "plt.xlabel('Epoch')\n", "plt.ylabel('Clasification accuracy')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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ACXMxlQCTkgrBut1KijfgUD/m5ieP8ZGXWcSx/gwJ43ihCll2raPvl/eCZdt9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cEhKhOsN2tmkZXj90BXdOMYs+rmvwd0/SyX33OVId8pDv0zNyVh+Msfhq4vuqATVwrQC92C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\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6nLhu72V26Zc0cHs+OvZtIiJ6PwI3q0LPISvmDZztd8Qz41AQclrwcgjNYz0YE1qB63bo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\naSBPu6q/xHPr4Gl6sq875tYG5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LSz8ozo1otR7Pc7GTzv98eR7HMvJh6fmSIn/XogP64n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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from cs231n.vis_utils import visualize_grid\n", "\n", "# Visualize the weights of the network\n", "\n", "def show_net_weights(net):\n", " W1 = net.params['W1']\n", " W1 = W1.reshape(32, 32, 3, -1).transpose(3, 0, 1, 2)\n", " plt.imshow(visualize_grid(W1, padding=3).astype('uint8'))\n", " plt.gca().axis('off')\n", " plt.show()\n", "\n", "show_net_weights(net)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Tune your hyperparameters\n", "\n", "**What's wrong?**. Looking at the visualizations above, we see that the loss is decreasing more or less linearly, which seems to suggest that the learning rate may be too low. Moreover, there is no gap between the training and validation accuracy, suggesting that the model we used has low capacity, and that we should increase its size. On the other hand, with a very large model we would expect to see more overfitting, which would manifest itself as a very large gap between the training and validation accuracy.\n", "\n", "**Tuning**. Tuning the hyperparameters and developing intuition for how they affect the final performance is a large part of using Neural Networks, so we want you to get a lot of practice. Below, you should experiment with different values of the various hyperparameters, including hidden layer size, learning rate, numer of training epochs, and regularization strength. You might also consider tuning the learning rate decay, but you should be able to get good performance using the default value.\n", "\n", "**Approximate results**. You should be aim to achieve a classification accuracy of greater than 48% on the validation set. Our best network gets over 52% on the validation set.\n", "\n", "**Experiment**: You goal in this exercise is to get as good of a result on CIFAR-10 as you can, with a fully-connected Neural Network. For every 1% above 52% on the Test set we will award you with one extra bonus point. Feel free implement your own techniques (e.g. PCA to reduce dimensionality, or adding dropout, or adding features to the solver, etc.)." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration 0 / 4000: loss 2.302583\n", "iteration 100 / 4000: loss 1.991260\n", "iteration 200 / 4000: loss 1.775281\n", "iteration 300 / 4000: loss 1.685591\n", "iteration 400 / 4000: loss 1.636356\n", "iteration 500 / 4000: loss 1.580622\n", "iteration 600 / 4000: loss 1.524742\n", "iteration 700 / 4000: loss 1.504215\n", "iteration 800 / 4000: loss 1.518042\n", "iteration 900 / 4000: loss 1.440999\n", "iteration 1000 / 4000: loss 1.484518\n", "iteration 1100 / 4000: loss 1.445671\n", "iteration 1200 / 4000: loss 1.501369\n", "iteration 1300 / 4000: loss 1.497817\n", "iteration 1400 / 4000: loss 1.465981\n", "iteration 1500 / 4000: loss 1.465990\n", "iteration 1600 / 4000: loss 1.413547\n", "iteration 1700 / 4000: loss 1.409602\n", "iteration 1800 / 4000: loss 1.420250\n", "iteration 1900 / 4000: loss 1.363839\n", "iteration 2000 / 4000: loss 1.380997\n", "iteration 2100 / 4000: loss 1.362503\n", "iteration 2200 / 4000: loss 1.371016\n", "iteration 2300 / 4000: loss 1.385116\n", "iteration 2400 / 4000: loss 1.413836\n", "iteration 2500 / 4000: loss 1.336518\n", "iteration 2600 / 4000: loss 1.388470\n", "iteration 2700 / 4000: loss 1.366604\n", "iteration 2800 / 4000: loss 1.321478\n", "iteration 2900 / 4000: loss 1.341668\n", "iteration 3000 / 4000: loss 1.380588\n", "iteration 3100 / 4000: loss 1.372859\n", "iteration 3200 / 4000: loss 1.383042\n", "iteration 3300 / 4000: loss 1.356748\n", "iteration 3400 / 4000: loss 1.389328\n", "iteration 3500 / 4000: loss 1.393579\n", "iteration 3600 / 4000: loss 1.309941\n", "iteration 3700 / 4000: loss 1.471550\n", "iteration 3800 / 4000: loss 1.363161\n", "iteration 3900 / 4000: loss 1.419592\n", "iteration 0 / 4000: loss 2.302579\n", "iteration 100 / 4000: loss 1.953719\n", "iteration 200 / 4000: loss 1.767800\n", "iteration 300 / 4000: loss 1.652734\n", "iteration 400 / 4000: loss 1.622537\n", "iteration 500 / 4000: loss 1.560656\n", "iteration 600 / 4000: loss 1.554930\n", "iteration 700 / 4000: loss 1.486025\n", "iteration 800 / 4000: loss 1.487059\n", "iteration 900 / 4000: loss 1.403388\n", "iteration 1000 / 4000: loss 1.445652\n", "iteration 1100 / 4000: loss 1.581631\n", "iteration 1200 / 4000: loss 1.466240\n", "iteration 1300 / 4000: loss 1.453394\n", "iteration 1400 / 4000: loss 1.451255\n", "iteration 1500 / 4000: loss 1.450092\n", "iteration 1600 / 4000: loss 1.364694\n", "iteration 1700 / 4000: loss 1.429886\n", "iteration 1800 / 4000: loss 1.425794\n", "iteration 1900 / 4000: loss 1.430862\n", "iteration 2000 / 4000: loss 1.401274\n", "iteration 2100 / 4000: loss 1.413930\n", "iteration 2200 / 4000: loss 1.363495\n", "iteration 2300 / 4000: loss 1.375438\n", "iteration 2400 / 4000: loss 1.464351\n", "iteration 2500 / 4000: loss 1.439878\n", "iteration 2600 / 4000: loss 1.398308\n", "iteration 2700 / 4000: loss 1.340024\n", "iteration 2800 / 4000: loss 1.368054\n", "iteration 2900 / 4000: loss 1.369013\n", "iteration 3000 / 4000: loss 1.355864\n", "iteration 3100 / 4000: loss 1.375931\n", "iteration 3200 / 4000: loss 1.322514\n", "iteration 3300 / 4000: loss 1.364359\n", "iteration 3400 / 4000: loss 1.374361\n", "iteration 3500 / 4000: loss 1.388159\n", "iteration 3600 / 4000: loss 1.367475\n", "iteration 3700 / 4000: loss 1.426817\n", "iteration 3800 / 4000: loss 1.402098\n", "iteration 3900 / 4000: loss 1.340263\n", "iteration 0 / 4000: loss 2.302593\n", "iteration 100 / 4000: loss 1.979821\n", "iteration 200 / 4000: loss 1.793122\n", "iteration 300 / 4000: loss 1.652701\n", "iteration 400 / 4000: loss 1.668863\n", "iteration 500 / 4000: loss 1.583747\n", "iteration 600 / 4000: loss 1.591026\n", "iteration 700 / 4000: loss 1.534686\n", "iteration 800 / 4000: loss 1.513759\n", "iteration 900 / 4000: loss 1.468964\n", "iteration 1000 / 4000: loss 1.455680\n", "iteration 1100 / 4000: loss 1.437290\n", "iteration 1200 / 4000: loss 1.446390\n", "iteration 1300 / 4000: loss 1.431270\n", "iteration 1400 / 4000: loss 1.433307\n", "iteration 1500 / 4000: loss 1.407405\n", "iteration 1600 / 4000: loss 1.399802\n", "iteration 1700 / 4000: loss 1.422070\n", "iteration 1800 / 4000: loss 1.434525\n", "iteration 1900 / 4000: loss 1.381993\n", "iteration 2000 / 4000: loss 1.383511\n", "iteration 2100 / 4000: loss 1.374440\n", "iteration 2200 / 4000: loss 1.420267\n", "iteration 2300 / 4000: loss 1.371797\n", "iteration 2400 / 4000: loss 1.377633\n", "iteration 2500 / 4000: loss 1.381026\n", "iteration 2600 / 4000: loss 1.438926\n", "iteration 2700 / 4000: loss 1.324090\n", "iteration 2800 / 4000: loss 1.331116\n", "iteration 2900 / 4000: loss 1.366819\n", "iteration 3000 / 4000: loss 1.392021\n", "iteration 3100 / 4000: loss 1.378007\n", "iteration 3200 / 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"#################################################################################\n", "# TODO: Tune hyperparameters using the validation set. Store your best trained #\n", "# model in best_net. #\n", "# #\n", "# To help debug your network, it may help to use visualizations similar to the #\n", "# ones we used above; these visualizations will have significant qualitative #\n", "# differences from the ones we saw above for the poorly tuned network. #\n", "# #\n", "# Tweaking hyperparameters by hand can be fun, but you might find it useful to #\n", "# write code to sweep through possible combinations of hyperparameters #\n", "# automatically like we did on the previous exercises. #\n", "#################################################################################\n", "best_val = -1\n", "input_size = 32 * 32 * 3\n", "hidden_size = 50\n", "num_classes = 10\n", "learning_rates = [1e-3, 1e-4, 5e-4, 1e-5, 5e-5]\n", "regularization_strengths = [1e-5, 1e-4, 1e-3]\n", "results = {}\n", "for rate in learning_rates:\n", " for strength in regularization_strengths:\n", " net = TwoLayerNet(input_size, hidden_size, num_classes)\n", " stats = net.train(X_train, y_train, X_val, y_val,\n", " num_iters=4000, batch_size=1000,\n", " learning_rate=rate, learning_rate_decay=0.95,\n", " reg=strength, verbose=True)\n", " learning_accuracy = np.mean(net.predict(X_train) == y_train)\n", " validation_accuracy = np.mean(net.predict(X_val) == y_val)\n", " print rate, strength, learning_accuracy, validation_accuracy\n", " if validation_accuracy > best_val:\n", " best_val = validation_accuracy\n", " best_net = net\n", " results[(rate, strength)] = (learning_accuracy, validation_accuracy)\n", "\n", "# Print out results.\n", "for lr, reg in sorted(results):\n", " train_accuracy, val_accuracy = results[(lr, reg)]\n", " print 'lr %e reg %e train accuracy: %f val accuracy: %f' % (\n", " lr, reg, train_accuracy, val_accuracy)\n", "\n", "print 'best validation accuracy achieved during cross-validation: %f' % best_val\n", " \n", "#################################################################################\n", "# END OF YOUR CODE #\n", "#################################################################################" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# visualize the weights of the best network\n", "show_net_weights(best_net)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Run on the test set\n", "When you are done experimenting, you should evaluate your final trained network on the test set; you should get above 48%.\n", "\n", "**We will give you extra bonus point for every 1% of accuracy above 52%.**" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "test_acc = (best_net.predict(X_test) == y_test).mean()\n", "print 'Test accuracy: ', test_acc" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }