Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Towards Data Science.
plt.show() return gan, generator, discriminator gan, generator, discriminator = DCGAN(Noise_dim) train(epochs=4000, batchSize=128, plotInternal=200) Let us compare the output of these two networks. By running the line: show_imgs(Generator) the network will output some images from the generator