Two topics that get a lot of attention in deep learning are Generative Adversarial Networks (GANs) and reinforcement learning. We only briefly introduce both topics, there is no code for this section for a couple of reasons. Firstly both topics are very advanced and trying to create a use-case that is non-trivial would require a few chapters for each topic. Secondly, reinforcement learning is not well supported in R, so creating an example would be difficult. Despite this, I include both of these topics in the book because I believe they are important emerging areas in deep learning that you should definitely be aware of.
Other deep learning topics
Generative adversarial networks
Generative Adversarial Networks have been called...
