import random import numpy as np import tensorflow as tf from keras import layers from keras import models from keras import optimizers filepath = tf.keras.utils.get_file(‘shakespeare.txt’, ‘https://storage.googleapis.com/download.tensorflow.org/data/shakespeare.txt’) text = open(filepath, ‘rb’).read().decode(encoding=’utf-8′).lower() text = text[300000:800000] characters = sorted(set(text)) char_to_index = dict((c, i) for i, c in enumerate(characters)) index_to_char = dict((i, c) for i, c in enumerate(characters)) SEQ_LENGTH […]