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Add runtime output to notebooks.
Signed-off-by: Norman Heckscher <norman.heckscher@gmail.com>
1 parent 9650209 commit ab15e28

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‎notebooks/3_NeuralNetworks/bidirectional_rnn.ipynb

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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Iter 1280, Minibatch Loss= 1.557283, Training Accuracy= 0.49219\n",
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"Iter 2560, Minibatch Loss= 1.358445, Training Accuracy= 0.56250\n",
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"Iter 3840, Minibatch Loss= 1.043732, Training Accuracy= 0.64062\n",
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"Iter 5120, Minibatch Loss= 0.796770, Training Accuracy= 0.72656\n",
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"Iter 6400, Minibatch Loss= 0.626206, Training Accuracy= 0.72656\n",
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"Iter 7680, Minibatch Loss= 1.025919, Training Accuracy= 0.65625\n",
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"Iter 8960, Minibatch Loss= 0.744850, Training Accuracy= 0.76562\n",
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"Iter 10240, Minibatch Loss= 0.530111, Training Accuracy= 0.84375\n",
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"Iter 11520, Minibatch Loss= 0.383806, Training Accuracy= 0.86719\n",
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"Iter 12800, Minibatch Loss= 0.607816, Training Accuracy= 0.82812\n",
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"Iter 14080, Minibatch Loss= 0.410879, Training Accuracy= 0.89062\n",
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"Iter 15360, Minibatch Loss= 0.335351, Training Accuracy= 0.89844\n",
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"Iter 16640, Minibatch Loss= 0.428004, Training Accuracy= 0.91406\n",
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"Iter 17920, Minibatch Loss= 0.307468, Training Accuracy= 0.91406\n",
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"Iter 19200, Minibatch Loss= 0.249527, Training Accuracy= 0.92188\n",
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"Iter 20480, Minibatch Loss= 0.148163, Training Accuracy= 0.96094\n",
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"Iter 21760, Minibatch Loss= 0.445275, Training Accuracy= 0.83594\n",
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"Iter 23040, Minibatch Loss= 0.173083, Training Accuracy= 0.93750\n",
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"Iter 24320, Minibatch Loss= 0.373696, Training Accuracy= 0.87500\n",
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"Iter 25600, Minibatch Loss= 0.509869, Training Accuracy= 0.85938\n",
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"Iter 26880, Minibatch Loss= 0.198096, Training Accuracy= 0.92969\n",
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"Iter 28160, Minibatch Loss= 0.228221, Training Accuracy= 0.92188\n",
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"Iter 29440, Minibatch Loss= 0.280088, Training Accuracy= 0.89844\n",
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"Iter 30720, Minibatch Loss= 0.300495, Training Accuracy= 0.91406\n",
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"Iter 32000, Minibatch Loss= 0.171746, Training Accuracy= 0.95312\n",
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"Iter 33280, Minibatch Loss= 0.263745, Training Accuracy= 0.89844\n",
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"Iter 34560, Minibatch Loss= 0.177300, Training Accuracy= 0.93750\n",
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"Iter 35840, Minibatch Loss= 0.160621, Training Accuracy= 0.95312\n",
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"Iter 37120, Minibatch Loss= 0.321745, Training Accuracy= 0.91406\n",
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"Iter 38400, Minibatch Loss= 0.188322, Training Accuracy= 0.93750\n",
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"Iter 39680, Minibatch Loss= 0.104025, Training Accuracy= 0.96875\n",
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"Iter 47360, Minibatch Loss= 0.181344, Training Accuracy= 0.96094\n",
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"Iter 48640, Minibatch Loss= 0.209197, Training Accuracy= 0.94531\n",
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"Iter 49920, Minibatch Loss= 0.159350, Training Accuracy= 0.96094\n",
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"Iter 51200, Minibatch Loss= 0.124001, Training Accuracy= 0.95312\n",
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"Iter 52480, Minibatch Loss= 0.165183, Training Accuracy= 0.94531\n",
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"Iter 53760, Minibatch Loss= 0.046438, Training Accuracy= 0.97656\n",
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"Iter 55040, Minibatch Loss= 0.199995, Training Accuracy= 0.91406\n",
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"Iter 56320, Minibatch Loss= 0.057071, Training Accuracy= 0.97656\n",
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"Iter 57600, Minibatch Loss= 0.177065, Training Accuracy= 0.92188\n",
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"Iter 58880, Minibatch Loss= 0.091666, Training Accuracy= 0.96094\n",
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"Iter 76800, Minibatch Loss= 0.106751, Training Accuracy= 0.95312\n",
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"Iter 78080, Minibatch Loss= 0.187795, Training Accuracy= 0.94531\n",
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"Iter 79360, Minibatch Loss= 0.092611, Training Accuracy= 0.96094\n",
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"Iter 80640, Minibatch Loss= 0.137386, Training Accuracy= 0.96875\n",
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"Iter 81920, Minibatch Loss= 0.106634, Training Accuracy= 0.98438\n",
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"Iter 83200, Minibatch Loss= 0.111749, Training Accuracy= 0.94531\n",
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"Iter 84480, Minibatch Loss= 0.191184, Training Accuracy= 0.94531\n",
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"Iter 85760, Minibatch Loss= 0.063982, Training Accuracy= 0.96094\n",
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"Iter 87040, Minibatch Loss= 0.092380, Training Accuracy= 0.96875\n",
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"Iter 88320, Minibatch Loss= 0.089899, Training Accuracy= 0.97656\n",
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"Iter 89600, Minibatch Loss= 0.141107, Training Accuracy= 0.94531\n",
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"Iter 90880, Minibatch Loss= 0.075549, Training Accuracy= 0.96094\n",
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"Iter 92160, Minibatch Loss= 0.186539, Training Accuracy= 0.94531\n",
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"Iter 93440, Minibatch Loss= 0.079639, Training Accuracy= 0.97656\n",
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"Iter 94720, Minibatch Loss= 0.156895, Training Accuracy= 0.95312\n",
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"Iter 96000, Minibatch Loss= 0.088042, Training Accuracy= 0.97656\n",
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"Iter 97280, Minibatch Loss= 0.076670, Training Accuracy= 0.96875\n",
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"Iter 98560, Minibatch Loss= 0.051336, Training Accuracy= 0.97656\n",
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"Iter 99840, Minibatch Loss= 0.086923, Training Accuracy= 0.98438\n",
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"Optimization Finished!\n",
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"Testing Accuracy: 0.960938\n"
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]
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}
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],
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"source": [
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"# Launch the graph\n",
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"with tf.Session() as sess:\n",

‎notebooks/3_NeuralNetworks/convolutional_network.ipynb

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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Iter 1280, Minibatch Loss= 26574.855469, Training Accuracy= 0.25781\n",
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"Iter 2560, Minibatch Loss= 11454.494141, Training Accuracy= 0.49219\n",
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"Iter 3840, Minibatch Loss= 10070.515625, Training Accuracy= 0.55469\n",
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"Iter 5120, Minibatch Loss= 4008.586426, Training Accuracy= 0.78125\n",
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"Iter 6400, Minibatch Loss= 3148.004639, Training Accuracy= 0.80469\n",
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"Iter 7680, Minibatch Loss= 6740.440430, Training Accuracy= 0.71875\n",
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"Iter 8960, Minibatch Loss= 4103.991699, Training Accuracy= 0.80469\n",
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"Iter 10240, Minibatch Loss= 2631.275391, Training Accuracy= 0.85938\n",
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"Iter 11520, Minibatch Loss= 1428.798828, Training Accuracy= 0.91406\n",
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"Iter 12800, Minibatch Loss= 3909.772705, Training Accuracy= 0.78906\n",
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"Iter 188160, Minibatch Loss= 149.720322, Training Accuracy= 0.98438\n",
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"Iter 189440, Minibatch Loss= 105.281998, Training Accuracy= 0.97656\n",
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"Iter 190720, Minibatch Loss= 289.980011, Training Accuracy= 0.96094\n",
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"Iter 192000, Minibatch Loss= 214.382278, Training Accuracy= 0.96094\n",
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"Iter 193280, Minibatch Loss= 461.044312, Training Accuracy= 0.93750\n",
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"Iter 194560, Minibatch Loss= 138.653076, Training Accuracy= 0.98438\n",
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"Iter 195840, Minibatch Loss= 112.004883, Training Accuracy= 0.98438\n",
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"Iter 197120, Minibatch Loss= 212.691467, Training Accuracy= 0.97656\n",
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"Iter 198400, Minibatch Loss= 57.642502, Training Accuracy= 0.97656\n",
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"Iter 199680, Minibatch Loss= 80.503563, Training Accuracy= 0.96875\n",
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"Optimization Finished!\n",
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"Testing Accuracy: 0.984375\n"
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]
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}
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],
160325
"source": [
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"# Launch the graph\n",
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"with tf.Session() as sess:\n",

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