Created
November 26, 2018 09:41
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| def simple_LSTM(): | |
| np.random.seed(7) | |
| model = Sequential(name = 'simple_LSTM') | |
| model.add(LSTM(512, input_shape=(None, 6), recurrent_dropout=0.5)) | |
| model.add(Dense(len(activities), activation='softmax')) | |
| model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=1e-4), metrics=['accuracy']) | |
| print(model.summary()) | |
| return model |
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