Text Generation, Object Detection, Reinforcement Learning, Machine Learning, Artificial Intelligence.
target_text = chunk[1:] return input_text, target_text dataset = sequences.map(split_input_target) batch_size = 64 buffer_size = 10000 dataset = dataset.shuffle(buffer_size).batch(batch_size, drop_remainder=True) # Define and train an LSTM-based text generation model model = keras.Sequential([