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Image Generation Using GANs
In the previous chapter, we learned about manipulating an image using neural style transfer and super-imposed the expression in one image on another. However, what if we give the network a bunch of images and ask it to come up with an entirely new image, all on its own?
Generative adversarial networks (GANs) are a step toward achieving the feat of generating an image given a collection of images. In this chapter, we will start by learning about the idea behind what makes GANs work, before building one from scratch. This is a vast field that is expanding even as we write this book. This chapter will lay the foundation of GANs by covering three variants; we will learn about more advanced GANs and their applications ...
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