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Deep Learning For Dummies
book

Deep Learning For Dummies

by John Paul Mueller, Luca Massaron
May 2019
Intermediate to advanced content levelIntermediate to advanced
368 pages
9h 55m
English
For Dummies
Content preview from Deep Learning For Dummies

Chapter 17

Playing with Deep Reinforcement Learning

IN THIS CHAPTER

Bullet Presenting reinforcement learning

Bullet Using OpenAI Gym for experimentation

Bullet Determining how a Deep Q-Network (DQN) works

Bullet Working with AlphaGo, AlphaGo Zero, and Alpha Zero

Apart from the example of GANs, you may be tempted to identify deep learning with supervised learning predictions. However, you also use deep learning for unsupervised learning and reinforcement learning (RL). Unsupervised learning supports a number of established techniques, such as autoencoders and self-organizing maps (SOMs), which this book doesn’t cover. Unsupervised techniques can help you to segment your data into homogeneous groups or to detect anomalies in your variables.

RL techniques are even more popular than unsupervised learning techniques among practitioners. Recently the object of intense research, RL achieves smarter solutions for problems such as parking a car, learning to drive in as little as twenty minutes (as this paper illustrates: https://arxiv.org/abs/1807.00412), controlling an industrial robot, and more. (This article by ...

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Publisher Resources

ISBN: 9781119543046Purchase book