Summary
GANs have been an active area of research and development in recent years, ever since their inception in 2014. This chapter was an exploration of the concepts behind GANs, including their components – namely, the generator and the discriminator. We discussed the architectures of each of these components and the overall schematic of a GAN model.
In the next chapter, we will go a step further in our pursuit of generative models. We will explore how to generate images from text using cutting-edge deep learning techniques.