diff --git a/hw3_convolutional_networks/AdalbjornssonElvanderBrynolfsson/HW2.ipynb b/hw3_convolutional_networks/AdalbjornssonElvanderBrynolfsson/HW2.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..f3f5d30e6151d1526fc2a3ac514e91ef1a9e6dad --- /dev/null +++ b/hw3_convolutional_networks/AdalbjornssonElvanderBrynolfsson/HW2.ipynb @@ -0,0 +1,603 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# HW2 deep learning studygroup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('Extracting', 'MNIST_data/train-images-idx3-ubyte.gz')\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/lib/python2.7/gzip.py:275: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future\n", + " chunk = self.extrabuf[offset: offset + size]\n", + "input_data.py:42: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future\n", + " data = data.reshape(num_images, rows, cols, 1)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('Extracting', 'MNIST_data/train-labels-idx1-ubyte.gz')\n", + "('Extracting', 'MNIST_data/t10k-images-idx3-ubyte.gz')\n", + "('Extracting', 'MNIST_data/t10k-labels-idx1-ubyte.gz')\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "import numpy as np\n", + "import input_data\n", + "\n", + "batch_size = 128\n", + "test_size = 256\n", + "\n", + "def init_weights(shape):\n", + " return tf.Variable(tf.random_normal(shape, stddev=0.01))\n", + "\n", + "\n", + "#def model(X, w, w2, w3, w4, w_o, p_keep_conv, p_keep_hidden):\n", + "# l1a = tf.nn.relu(tf.nn.conv2d(X, w, # l1a shape=(?, 28, 28, 32)\n", + "# strides=[1, 1, 1, 1], padding='SAME'))\n", + "# l1 = tf.nn.max_pool(l1a, ksize=[1, 2, 2, 1], # l1 shape=(?, 14, 14, 32)\n", + "# strides=[1, 2, 2, 1], padding='SAME')\n", + "# l1 = tf.nn.dropout(l1, p_keep_conv)\n", + "#\n", + "# l2a = tf.nn.relu(tf.nn.conv2d(l1, w2, # l2a shape=(?, 14, 14, 64)\n", + "# strides=[1, 1, 1, 1], padding='SAME'))\n", + "# l2 = tf.nn.max_pool(l2a, ksize=[1, 2, 2, 1], # l2 shape=(?, 7, 7, 64)\n", + "# strides=[1, 2, 2, 1], padding='SAME')\n", + "# l2 = tf.nn.dropout(l2, p_keep_conv)\n", + "#\n", + "# l3a = tf.nn.relu(tf.nn.conv2d(l2, w3, # l3a shape=(?, 7, 7, 128)\n", + "# strides=[1, 1, 1, 1], padding='SAME'))\n", + "# l3 = tf.nn.max_pool(l3a, ksize=[1, 2, 2, 1], # l3 shape=(?, 4, 4, 128)\n", + "# strides=[1, 2, 2, 1], padding='SAME')\n", + "# l3 = tf.reshape(l3, [-1, w4.get_shape().as_list()[0]]) # reshape to (?, 2048)\n", + "# l3 = tf.nn.dropout(l3, p_keep_conv)\n", + "#\n", + "# l4 = tf.nn.relu(tf.matmul(l3, w4))\n", + "# l4 = tf.nn.dropout(l4, p_keep_hidden)\n", + "#\n", + "# pyx = tf.matmul(l4, w_o)\n", + "# return pyx\n", + "\n", + "\n", + "\n", + "\n", + "mnist = input_data.read_data_sets(\"MNIST_data/\", one_hot=True)\n", + "trX, trY, teX, teY = mnist.train.images, mnist.train.labels, mnist.test.images, mnist.test.labels\n", + "trX = trX.reshape(-1, 28, 28, 1) # 28x28x1 input img\n", + "teX = teX.reshape(-1, 28, 28, 1) # 28x28x1 input img\n", + "\n", + "X = tf.placeholder(\"float\", [None, 28, 28, 1])\n", + "Y = tf.placeholder(\"float\", [None, 10])\n", + "\n", + "w = init_weights([3, 3, 1, 32]) # 3x3x1 conv, 32 outputs\n", + "w2 = init_weights([3, 3, 32, 64]) # 3x3x32 conv, 64 outputs\n", + "w3 = init_weights([3, 3, 64, 128]) # 3x3x32 conv, 128 outputs\n", + "w4 = init_weights([128 * 4 * 4, 625]) # FC 128 * 4 * 4 inputs, 625 outputs\n", + "w_o = init_weights([625, 10]) # FC 625 inputs, 10 outputs (labels)\n", + "\n", + "p_keep_conv = tf.placeholder(\"float\")\n", + "p_keep_hidden = tf.placeholder(\"float\")\n", + "#py_x = model(X, w, w2, w3, w4, w_o, p_keep_conv, p_keep_hidden)\n", + "\n", + "# moved section\n", + "l1a = tf.nn.relu(tf.nn.conv2d(X, w, # l1a shape=(?, 28, 28, 32)\n", + " strides=[1, 1, 1, 1], padding='SAME'))\n", + "l1 = tf.nn.max_pool(l1a, ksize=[1, 2, 2, 1], # l1 shape=(?, 14, 14, 32)\n", + " strides=[1, 2, 2, 1], padding='SAME')\n", + "l1 = tf.nn.dropout(l1, p_keep_conv)\n", + "\n", + "l2a = tf.nn.relu(tf.nn.conv2d(l1, w2, # l2a shape=(?, 14, 14, 64)\n", + " strides=[1, 1, 1, 1], padding='SAME'))\n", + "l2 = tf.nn.max_pool(l2a, ksize=[1, 2, 2, 1], # l2 shape=(?, 7, 7, 64)\n", + " strides=[1, 2, 2, 1], padding='SAME')\n", + "l2 = tf.nn.dropout(l2, p_keep_conv)\n", + "\n", + "l3a = tf.nn.relu(tf.nn.conv2d(l2, w3, # l3a shape=(?, 7, 7, 128)\n", + " strides=[1, 1, 1, 1], padding='SAME'))\n", + "l3 = tf.nn.max_pool(l3a, ksize=[1, 2, 2, 1], # l3 shape=(?, 4, 4, 128)\n", + " strides=[1, 2, 2, 1], padding='SAME')\n", + "l3 = tf.reshape(l3, [-1, w4.get_shape().as_list()[0]]) # reshape to (?, 2048)\n", + "l3 = tf.nn.dropout(l3, p_keep_conv)\n", + "\n", + "l4 = tf.nn.relu(tf.matmul(l3, w4))\n", + "l4 = tf.nn.dropout(l4, p_keep_hidden)\n", + "\n", + "py_x = tf.matmul(l4, w_o)\n", + "# end moved section\n", + "\n", + "cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(py_x, Y))\n", + "train_op = tf.train.RMSPropOptimizer(0.001, 0.9).minimize(cost)\n", + "predict_op = tf.argmax(py_x, 1)\n", + "\n", + "# Launch the graph in a session\n", + "#with tf.Session() as sess:\n", + "# # you need to initialize all variables\n", + "# tf.initialize_all_variables().run()\n", + "\n", + "# for i in range(5):\n", + "# training_batch = zip(range(0, len(trX), batch_size),\n", + "# range(batch_size, len(trX)+1, batch_size))\n", + "# for start, end in training_batch:\n", + "# sess.run(train_op, feed_dict={X: trX[start:end], Y: trY[start:end],\n", + "# p_keep_conv: 0.8, p_keep_hidden: 0.5})\n", + "#\n", + "# test_indices = np.arange(len(teX)) # Get A Test Batch\n", + "# np.random.shuffle(test_indices)\n", + "# test_indices = test_indices[0:test_size]\n", + "#\n", + "# print(i, np.mean(np.argmax(teY[test_indices], axis=1) ==\n", + "# sess.run(predict_op, feed_dict={X: teX[test_indices],\n", + "# Y: teY[test_indices],\n", + "# p_keep_conv: 1.0,\n", + "# p_keep_hidden: 1.0})))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(0, 0.95703125)\n", + "(1, 0.97265625)\n", + "(2, 0.98046875)\n" + ] + } + ], + "source": [ + "sess = tf.Session()\n", + "# you need to initialize all variables\n", + "sess.run(tf.initialize_all_variables())\n", + "for i in range(3):\n", + " training_batch = zip(range(0, len(trX), batch_size),range(batch_size, len(trX)+1, batch_size))\n", + " for start, end in training_batch:\n", + " sess.run(train_op, feed_dict={X: trX[start:end], Y: trY[start:end],p_keep_conv: 0.8, p_keep_hidden: 0.5})\n", + " test_indices = np.arange(len(teX)) # Get A Test Batch\n", + " np.random.shuffle(test_indices)\n", + " test_indices = test_indices[0:test_size]\n", + "\n", + " print(i, np.mean(np.argmax(teY[test_indices], axis=1) ==\n", + " sess.run(predict_op, feed_dict={X: teX[test_indices],\n", + " Y: teY[test_indices],\n", + " p_keep_conv: 1.0,\n", + " p_keep_hidden: 1.0})))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.text.Text at 0x7fb27ea96cd0>" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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R29tLMBgkmUySTCbV8SwWC2azmfX1dRKJxIGco25I/QRgsViwWCwUFxfjdrspLS3F4/Go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\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97W+xvr6OUCjUFlElxEbkk08+wT//8z9DqVTSmJVGowGPx4OHDx9emcis14Fop3K5HILB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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7fb282d0bc90>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#plot a few MNIST examples\n", + "import matplotlib \n", + "from IPython.display import Image, display, clear_output\n", + "%matplotlib nbagg\n", + "%matplotlib inline \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "idx = 0\n", + "canvas = np.zeros((28*10, 10*28))\n", + "for i in range(10):\n", + " for j in range(10):\n", + " canvas[i*28:(i+1)*28, j*28:(j+1)*28] = trX[idx].reshape((28, 28))\n", + " idx += 1\n", + "plt.figure(figsize=(7, 7))\n", + "plt.axis('off')\n", + "plt.imshow(canvas, cmap='gray')\n", + "plt.title('MNIST handwritten digits')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Required argument 'shape' (pos 1) not found", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m<ipython-input-5-4ef7e96a514b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcanvas\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m25\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'off'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mP\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'MNIST handwritten digits'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Required argument 'shape' (pos 1) not found" + ] + } + ], + "source": [ + "canvas = np.zeros()\n", + "plt.figure(figsize=(25, 25))\n", + "plt.axis('off')\n", + "plt.imshow(P, cmap='gray')\n", + "plt.title('MNIST handwritten digits')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([4, 5, 0, 2, 8, 1, 6, 4, 3, 1, 8, 7, 0, 1, 7, 2, 2, 0, 3, 3, 8, 8, 1,\n", + " 3, 4, 1, 9, 0, 4, 4, 2, 5, 0, 4, 9, 1, 1, 0, 7, 0, 9, 3, 7, 7, 8, 5,\n", + " 0, 8, 1, 1, 2, 4, 5, 7, 3, 6, 8, 7, 4, 2, 9, 9, 1, 9, 7, 5, 4, 2, 4,\n", + " 0, 8, 9, 7, 0, 0, 5, 3, 0, 3, 1, 2, 4, 9, 2, 5, 9, 8, 8, 0, 7, 8, 9,\n", + " 0, 2, 8, 7, 3, 7, 1, 4, 7, 4, 8, 0, 1, 5, 1, 5, 5, 5, 5, 7, 9, 8, 4,\n", + " 8, 1, 5, 7, 7, 7, 7, 6, 5, 2, 0, 8, 7, 1, 5, 3, 7, 4, 7, 8, 0, 5, 9,\n", + " 3, 6, 4, 2, 3, 8, 6, 1, 2, 2, 9, 4, 6, 8, 2, 6, 1, 3, 6, 0, 1, 2, 0,\n", + " 9, 8, 8, 8, 3, 3, 3, 1, 7, 9, 9, 6, 5, 1, 7, 4, 7, 5, 2, 0, 7, 9, 8,\n", + " 0, 3, 9, 4, 5, 0, 5, 0, 1, 4, 2, 4, 0, 3, 8, 6, 7, 7, 6, 9, 3, 5, 8,\n", + " 1, 1, 5, 1, 8, 6, 1, 3, 9, 2, 2, 1, 3, 9, 1, 0, 6, 8, 5, 7, 5, 2, 3,\n", + " 3, 5, 0, 0, 9, 3, 3, 3, 9, 8, 4, 0, 6, 5, 7, 6, 9, 3, 4, 0, 3, 6, 9,\n", + " 7, 4, 3])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sess.run(predict_op, feed_dict={X: teX[test_indices], Y: teY[test_indices],\n", + " p_keep_conv: 1.0,\n", + " p_keep_hidden: 1.0})" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2819 7559 9134 9341 3153 5776 3428 7759 3449 8118 5846 8984 9310 3815 7030\n", + " 875 8174 4776 3082 3456 8037 4626 5732 7484 4490 7708 4659 1047 7726 8347\n", + " 400 6390 9455 3249 6787 3070 145 4320 3329 3315 2257 1066 841 6007 6297\n", + " 7372 7907 6725 9434 29 7992 9639 4838 1925 2534 6325 2163 8304 7731 8719\n", + " 1308 2068 8682 6656 144 102 2938 7518 139 2942 2809 2274 8959 9179 9888\n", + " 9109 7763 9244 4234 4168 4187 3685 3387 4905 7351 5837 2744 8476 2899 7902\n", + " 5775 4158 9677 1689 6219 9534 3487 4658 6320 360 9031 6867 1499 9952 4005\n", + " 5518 7023 9877 5302 3877 3860 1401 1501 5103 2498 5611 5566 4263 3799 3838\n", + " 1770 2628 8281 3462 4816 7269 6467 9546 836 1247 795 411 8355 4678 5462\n", + " 4282 9675 7089 5764 2651 4313 9971 8684 7963 3748 8231 7386 1269 8599 610\n", + " 6350 4545 9577 9364 3203 5074 54 3959 6917 2927 3540 5996 1248 1389 2382\n", + " 9156 7730 8246 8244 2325 6507 9252 4980 7403 7890 6449 1274 8733 3157 8165\n", + " 4834 2195 359 9410 2067 7981 6081 5676 5624 5838 132 2204 1836 4377 7420\n", + " 6911 4091 2813 2862 2976 4746 4099 9210 9386 8154 7541 4207 8289 4318 6270\n", + " 8427 3062 1153 963 7207 5388 1335 8838 2182 3484 5671 5915 9297 22 1267\n", + " 1493 1126 720 8394 7798 3074 2445 297 1416 2088 6030 9882 6103 6692 1827\n", + " 379 3774 8116 7974 5097 9938 3041 887 5201 2294 4907 8240 5894 9692 9738\n", + " 2502]\n" + ] + } + ], + "source": [ + "print test_indices" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([7])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_indices2 = np.arange(1)\n", + "sess.run(predict_op, feed_dict={X: teX[test_indices2], Y: teY[test_indices2],\n", + " p_keep_conv: 1.0,\n", + " p_keep_hidden: 1.0})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(28, 28, 1)\n" + ] + } + ], + "source": [ + "print teX[1].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1, 28, 28, 1)\n" + ] + } + ], + "source": [ + "print teX[test_indices2].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n" + ] + } + ], + "source": [ + "print test_indices2" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'numpy.ndarray' object has no attribute 'type'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m<ipython-input-12-654b162b4866>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mteX\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m: 'numpy.ndarray' object has no attribute 'type'" + ] + } + ], + "source": [ + "print teX.type" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(3, 3)\n", + "(14, 14)\n", + "[2]\n", + "(7, 7)\n", + "(28, 28)\n", + "[[ 0.59423435 0.57941902 0.09152544]\n", + " [-0.10864862 0.01965293 0.25428939]\n", + " [-0.1598174 -0.11813784 -0.15251733]]\n" + ] + }, + { + "data": { + "text/plain": [ + "<matplotlib.text.Text at 0x7fb2789b6c10>" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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W+VEfPSVgDEkJGENSAsYwpsyUGj9ec801XnzPPfdEdcLFA6lnSKYWC9Q715tvvhnVCRe/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\nUgLGkJSAMSQlYAxJCRhDUgLG/H+mzr7QxDKltAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<matplotlib.figure.Figure at 0x7fb278a07890>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib \n", + "import matplotlib.pyplot as plt\n", + "from IPython.display import Image, display, clear_output\n", + "%matplotlib nbagg\n", + "%matplotlib inline\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "test_indices2 = np.arange(1,2)\n", + "#test_indices2 = np.ndarray(10)\n", + "res_valid = sess.run([predict_op,l1, l2, w2, l3], feed_dict={X: teX[test_indices2], Y: teY[test_indices2],\n", + " p_keep_conv: 1.0,\n", + " p_keep_hidden: 1.0})\n", + "eval_op, eval_l1, eval_l2, eval_w, eval_l3= tuple(res_valid)\n", + "\n", + "eval_l1 = eval_l1[:,:,:,12]\n", + "eval_l1 = eval_l1[0]\n", + "\n", + "eval_l2 = eval_l2[:,:,:,12]\n", + "eval_l2 = eval_l2[0]\n", + "eval_w = eval_w[:,:,0,12]\n", + "eval_l3=eval_l3.reshape([128,16])\n", + "print eval_w.shape\n", + "print eval_l1.shape\n", + "print eval_op\n", + "print eval_l2.shape\n", + "plt.figure(figsize=(1.5, 1.5))\n", + "plt.axis('off')\n", + "plt.imshow(eval_l1, cmap='gray',interpolation='none' )\n", + "plt.title('MNIST handwritten digits')\n", + "print teX[test_indices2][0,:,:,:][:,:,0].shape\n", + "\n", + "plt.figure(figsize=(1.5, 1.5))\n", + "plt.axis('off')\n", + "plt.imshow(teX[test_indices2][0,:,:,:][:,:,0], cmap='gray',interpolation='none' )\n", + "plt.title('MNIST handwritten digits')\n", + "\n", + "plt.figure(figsize=(1.5, 1.5))\n", + "plt.axis('off')\n", + "plt.imshow(eval_w, cmap='gray',interpolation='none' )\n", + "plt.title('MNIST handwritten digits')\n", + "print eval_w/np.sum(eval_w)\n", + "\n", + "plt.figure(figsize=(1.5, 1.5))\n", + "plt.axis('off')\n", + "plt.imshow(eval_l2, cmap='gray',interpolation='none' )\n", + "plt.title('MNIST handwritten digits')\n", + "plt.figure(figsize=(7.5, 7.5))\n", + "plt.axis('off')\n", + "plt.imshow(eval_l3, cmap='gray',interpolation='none' )\n", + "plt.title('MNIST handwritten digits')\n" + ] + } + ], + "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": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +}