Deep Learning, Neural Networks, Adversarial Network, Tinder, Social Media.
range(SEQUENCE_LEN): sentence += characters[X[i,s,:].argmax()] next_char = characters[y[i,:].argmax()] print(“sample #%d: …%s -> ‘%s’” % ( i, sentence[-20:], next_char )) def batch_generator(text, count): “””Generate batches for training””” while True: for batch_ix in range(count): X =