We've covered a tremendous amount of information just in this first chapter. You've seen how GANs came about and have a basic grasp of the roles of generators and discriminators. You've even seen a few examples of some of the things that GANs can do. We've even created a GAN program using just NumPy. Not to mention we now know why Ganland has better blacksmiths and wine.
Next, we'll dive into the wondrous world of PyTorch, what it is, and how to install it.
The following is a list of references and other helpful links.
