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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Deep NLP basics

Hopefully, you're excited about chatbots and their potential applications, so let's now get to the boring details of NLP building blocks and standard approaches. As with almost everything in ML, deep NLP is experiencing hype and is evolving at a fast pace, so this section just scratches the surface and covers the most common and standard building blocks. For a more detailed description, Richard Socher's online course CS224d (http://cs224d.stanford.edu) is a really good starting point.

Recurrent Neural Networks

NLP has its own specificities that make it different from computer vision or other domains. One such feature is the processing of variable-length objects. At various levels, NLP is dealing with objects that could have different ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content