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May 5, 2017 18:17
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Using TensorFlow backend.\n" | |
] | |
} | |
], | |
"source": [ | |
"import numpy as np\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"import keras\n", | |
"from keras.datasets import cifar10\n", | |
"from keras.models import Sequential\n", | |
"from keras.layers import Dense, Dropout, Activation, Flatten\n", | |
"from keras.layers import Conv2D, MaxPooling2D\n", | |
"import keras.backend as K\n", | |
"%matplotlib inline" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"batch_size = 32\n", | |
"num_classes = 10\n", | |
"epochs = 50" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"activations = {'cos': K.cos,\n", | |
" 'sin': K.sin,\n", | |
" 'relu': 'relu',\n", | |
" 'tanh': 'tanh',\n", | |
" 'sigmoid': 'sigmoid',\n", | |
" 'None': None\n", | |
" }" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n", | |
"x_train = x_train.astype('float32')\n", | |
"x_test = x_test.astype('float32')\n", | |
"x_train /= 255\n", | |
"x_test /= 255\n", | |
"\n", | |
"y_train = keras.utils.to_categorical(y_train, num_classes)\n", | |
"y_test = keras.utils.to_categorical(y_test, num_classes)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"res = {}\n", | |
"for name, activation in activations.items():\n", | |
" model = Sequential()\n", | |
"\n", | |
" model.add(Conv2D(32, (3, 3), padding='same',\n", | |
" input_shape=x_train.shape[1:],\n", | |
" activation=activation))\n", | |
" model.add(Conv2D(32, (3, 3), activation=activation))\n", | |
" model.add(MaxPooling2D(pool_size=(2, 2)))\n", | |
" model.add(Dropout(0.25))\n", | |
"\n", | |
" model.add(Conv2D(64, (3, 3), padding='same', activation=activation))\n", | |
" model.add(Conv2D(64, (3, 3), activation=activation))\n", | |
" model.add(MaxPooling2D(pool_size=(2, 2)))\n", | |
" model.add(Dropout(0.25))\n", | |
"\n", | |
" model.add(Flatten())\n", | |
" model.add(Dense(512, activation=activation))\n", | |
" model.add(Dropout(0.5))\n", | |
" model.add(Dense(num_classes))\n", | |
" model.add(Activation('softmax'))\n", | |
"\n", | |
" model.compile(loss='categorical_crossentropy',\n", | |
" optimizer='sgd',\n", | |
" metrics=['accuracy'])\n", | |
" res[name] = model.fit(x_train, y_train, validation_data=(x_test, y_test), epochs=epochs)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.legend.Legend at 0x7f155016f0b8>" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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6Gn3MmRVcUkrMy5ZR+p+pOPfuRRsaiqe6GrxHhnXTx8UROOpSgq66Gp+WyU2258jJofrH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\nAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f158dfdc160>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"x = range(epochs)\n", | |
"for k, v in res.items():\n", | |
" plt.plot(x, v.history['val_acc'], label=k)\n", | |
"\n", | |
"plt.xlabel('epoch')\n", | |
"plt.ylabel('val acc')\n", | |
"plt.title('CIFAR10 acc')\n", | |
"plt.legend()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.legend.Legend at 0x7f15296d1780>" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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YMIF//vmHxYsX06RJEyIiIqhcuXJph2URq/UwlFLrAUvv3wwAZlkrlpsR4hECkO/0Wl/3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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f15500b3ba8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"for k, v in res.items():\n", | |
" plt.plot(x, v.history['val_loss'], label=k)\n", | |
"\n", | |
"plt.xlabel('epoch')\n", | |
"plt.ylabel('val loss')\n", | |
"plt.title('CIFAR10 loss')\n", | |
"plt.legend()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"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": "3.6.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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