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Deep Learning Essentials

You're reading from   Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785880360
Length 284 pages
Edition 1st Edition
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Authors (3):
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Wei Di Wei Di
Author Profile Icon Wei Di
Wei Di
Anurag Bhardwaj Anurag Bhardwaj
Author Profile Icon Anurag Bhardwaj
Anurag Bhardwaj
Jianing Wei Jianing Wei
Author Profile Icon Jianing Wei
Jianing Wei
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Toc

Table of Contents (12) Chapters Close

Preface 1. Why Deep Learning? FREE CHAPTER 2. Getting Yourself Ready for Deep Learning 3. Getting Started with Neural Networks 4. Deep Learning in Computer Vision 5. NLP - Vector Representation 6. Advanced Natural Language Processing 7. Multimodality 8. Deep Reinforcement Learning 9. Deep Learning Hacks 10. Deep Learning Trends 11. Other Books You May Enjoy

Implementing reinforcement learning

In this section, we will look at how to implement a simple reinforcement learning method. We will use OpenAI's open source toolkits, gym and universe, for this purpose. gym is a software framework for developing and comparing different reinforcement learning algorithms. It supports environments for different games by Atari, board games, as well as classic control tasks. universe on the other hand provides a wrapper on top of gym with modules for client and server, where you can visualize the progress of a reinforcement learning system. To install these toolkits on a macbook, we do the following:

pip install gym
brew install golang libjpeg-turbo
pip install universe

Simple reinforcement learning example

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