Designing a GAN in Keras

For this exercise, suppose you were part of a research team working for a large automobile manufacturer. Your boss wants you to come up with a way to generate synthetic designs for cars, to systematically inspire the design team. You have heard all the hype about GANs and have decided to investigate whether they can be used for the task at hand. To do this, you want to first do a proof of concept, so you quickly get a hold of some low-resolution pictures of cars and design a basic GAN in Keras to see whether the network is at least able to recreate the general morphology of cars. Once you can establish this, you can convince your manager to invest in a few Titan x GUPs for the office, get some higher-resolution data, and develop some more complex architectures. So, let's start by implementing this proof of concept by first getting our hands on some...