Created
May 6, 2020 02:08
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Model Architecture Keras
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| main_input = Input(shape=(MAXLEN,), dtype='int32', name='main_input') | |
| x = Embedding(input_dim=vocabulary_size, output_dim=50, input_length=MAXLEN)(main_input) | |
| x = Dropout(0.3)(x) | |
| x = Conv1D(64, 5, activation='relu')(x) | |
| x = MaxPooling1D(pool_size=4)(x) | |
| x = LSTM(100)(x) | |
| x = Dropout(0.3)(x) |
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