Created
August 4, 2020 08:40
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| model = Sequential() | |
| model.add(Embedding(vocab_size, 8, input_length=max_length)) | |
| model.add(Flatten()) | |
| model.add(Dense(1, activation='sigmoid')) | |
| model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['acc']) | |
| print(model.summary()) | |
| model.fit(X_train, y_train, epochs=20, verbose=0) |
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