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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

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.

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Publisher Resources

ISBN: 9781788992893Supplemental Content