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Hands-On Artificial Intelligence for Beginners

You're reading from   Hands-On Artificial Intelligence for Beginners An introduction to AI concepts, algorithms, and their implementation

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788991063
Length 362 pages
Edition 1st Edition
Languages
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Authors (2):
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David Dindi David Dindi
Author Profile Icon David Dindi
David Dindi
Patrick D. Smith Patrick D. Smith
Author Profile Icon Patrick D. Smith
Patrick D. Smith
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Table of Contents (15) Chapters Close

Preface 1. The History of AI 2. Machine Learning Basics FREE CHAPTER 3. Platforms and Other Essentials 4. Your First Artificial Neural Networks 5. Convolutional Neural Networks 6. Recurrent Neural Networks 7. Generative Models 8. Reinforcement Learning 9. Deep Learning for Intelligent Agents 10. Deep Learning for Game Playing 11. Deep Learning for Finance 12. Deep Learning for Robotics 13. Deploying and Maintaining AI Applications 14. Other Books You May Enjoy

Deep Learning for Robotics

So far, we've learned how to build an intelligent chatbot, which can play board games just as a human does, and glean insights from stock market data. In this chapter, we're going to move on to what many people in the general public imagine Artificial Intelligence (AI) to be: self-learning robots. In Chapter 8, Reinforcement Learning, you learned all about reinforcement learning and how to use those methods for basic tasks. In this chapter, we'll learn how to apply those methods to robotic motion.

In this chapter, we'll be using GPUs to help train these powerful algorithms. If you don't have a GPU- enabled computer, it's recommended that you use either AWS or Google Cloud to give you some more computing power.

The following topics will be covered in this chapter:

  1. Setting up your environment
  2. Setting u a deep deterministic...
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