Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
generator.summary() discriminator.summary() gan.summary() return generator, discriminator, gan Essentially, what we did above was design a function that creates a GAN model based on our global parameters. Notice that we compile the discriminator, but not the generator, but we do compile the GAN as