Python, Classification, Keras, Text.
model = Sequential() model.add(Dense(512, activation='relu', input_shape=(max_sequence_length,))) model.add(Dropout(0.5)) model.add(Dense(256, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(num_classes, activation='softmax')) # Replace num_classes with the actual number of classes 4.2