AI, NLP, Deep Learning, Lstm, TensorFlow.
input_length=max_sequence_length-1)) model_rnn.add(SimpleRNN(100)) model_rnn.add(Dense(total_words, activation='softmax')) model_rnn.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) model_rnn.fit(X, y, epochs=100, verbose=0) # Build and train the GRU model model_gru