Summary

We spent a tremendous amount of time learning about Deep Convolutional GANs in this chapter. We dealt with the MNIST dataset as well as two huge datasets in the form of the CelebA and LSUN datasets. We also consumed a large number of computing cycles. Hopefully, you have a good grasp of DCGANs at this point.

Next, we'll look at a Conditional GAN (CGAN) and how to add label information during the training process. Let's get going!