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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 FREE CHAPTER 2. Machine Learning Basics 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

Technical requirements

In this chapter, we will be utilizing TensorFlow in Python. We will also be using the OpenAI gym to test our algorithms.

OpenAI gym is an open source toolkit for developing and testing reinforcement learning algorithms. Written in Python, there are environments from Atari games to robot simulations. As we develop reinforcement learning algorithms in this chapter and later chapters, gym will give us access to test environments that would otherwise be very complicated to construct on our own.

You will need either a macOS or Linux environment to run gym. You can install gym by running a simple pip install command:

pip install gym

You should now have gym installed! If you've run into an error, you may have dependency issues. Check the official gym GitHub repo for the latest dependencies (https://github.com/openai/gym).

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