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December 6, 2018 07:10
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| model = keras.Sequential() | |
| model.add(keras.layers.Embedding(10000, 16)) | |
| model.add(keras.layers.SimpleRNN(50)) | |
| model.add(keras.layers.Dense(16, activation=tf.nn.relu)) | |
| model.add(keras.layers.Dense(1, activation=tf.nn.sigmoid)) | |
| model.compile(optimizer=tf.train.AdamOptimizer(), | |
| loss='binary_crossentropy', | |
| metrics=['accuracy']) |
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