Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
VAEGAN(decgen,discriminator): # generator g = decgen # discriminator d = discriminator d.trainable = False # GAN gan = Sequential([g, d]) # sgd=SGD() gan.compile(optimizer=Adam(lr=0.0001, beta_1=0.5), loss='binary_crossentropy') return g, d, gan We once again define some functions so that we can