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- model = Sequential()
- model.add(Conv1D(32, kernel_size=3, activation='elu', padding='same',
- input_shape=(max_tweet_length, vector_size)))
- model.add(Conv1D(32, kernel_size=3, activation='elu', padding='same'))
- model.add(Conv1D(32, kernel_size=3, activation='elu', padding='same'))
- model.add(Conv1D(32, kernel_size=3, activation='elu', padding='same'))
- model.add(Dropout(0.25))
- model.add(Conv1D(32, kernel_size=2, activation='elu', padding='same'))
- model.add(Conv1D(32, kernel_size=2, activation='elu', padding='same'))
- model.add(Conv1D(32, kernel_size=2, activation='elu', padding='same'))
- model.add(Conv1D(32, kernel_size=2, activation='elu', padding='same'))
- model.add(Dropout(0.25))
- model.add(Dense(256, activation='relu'))
- model.add(Dense(256, activation='relu'))
- model.add(Dropout(0.5))
- model.add(Flatten())
- model.add(Dense(2, activation='softmax'))
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