Created
July 6, 2019 23:28
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Comparsing TensorFlow vs Keras for an LSTM model
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| from keras.layers import LSTM | |
| model = Sequential() | |
| model.add(Embedding(max_features, 256, input_length=maxlen)) | |
| model.add(LSTM(output_dim=128, activation='sigmoid', inner_activation='hard_sigmoid')) | |
| model.add(Dropout(0.5)) model.add(Dense(1)) | |
| model.add(Activation('sigmoid')) | |
| model.compile(loss='binary_crossentropy', optimizer='rmsprop', metrics=['accuracy']) | |
| model.fit(X_train, Y_train, batch_size=16, nb_epoch=10) | |
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