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November 10, 2019 01:49
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| model = Sequential() | |
| model.add(Conv1D(filters=500, kernel_size=10, activation='relu', input_shape=(n_steps, n_features))) | |
| model.add(MaxPooling1D(pool_size=10)) | |
| model.add(Flatten()) | |
| model.add(Dense(500, activation='relu')) | |
| model.add(Dense(100, activation='relu')) | |
| model.add(Dense(1, activation='sigmoid')) | |
| model.compile(optimizer='adam', loss='mse') |
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