November 2019
Intermediate to advanced
346 pages
9h 36m
English
In the following steps, we provide a recipe for using a previously trained RNN to generate reviews:
import kerasfrom keras import layers
char_indices = dict((char, chars.index(char)) for char in chars)
text = open("seed_text.txt").read()max_length = 40
rnn = keras.models.Sequential()rnn.add( layers.LSTM(1024, input_shape=(max_length, len(chars_list)), return_sequences=True))rnn.add(layers.LSTM(1024, input_shape=(max_length, len(chars_list)))) ...