AI, NLP, Deep Learning, Lstm, TensorFlow.
pad_sequences(input_sequences, maxlen=max_sequence_length, padding='pre') X, y = input_sequences[:, :-1], input_sequences[:, -1] y = tf.keras.utils.to_categorical(y, num_classes=total_words) # Build and train the SimpleRNN model model_rnn = Sequential() model_rnn.add(Embedding(total_words, 50,