Created
November 10, 2019 01:51
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| model = Sequential() | |
| model.add(LSTM(100, activation='relu', return_sequences=True, input_shape=(n_steps, n_features))) | |
| model.add(LSTM(50, activation='relu', return_sequences=False)) | |
| model.add(Dense(10)) | |
| model.add(Dense(1)) | |
| model.compile(optimizer='adam', loss='mse', metrics=['mae']) |
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