Other deep learning topics

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.

Generative adversarial networks

Generative Adversarial Networks have been called the coolest thing since sliced bread by Yann LeCunn, one of the most prominent people in deep learning. If he believes that, then we should all take notice!

Most of our models in this book have been discriminative models, that is, we try to differentiate one class from...