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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

Setting up your environment

We'll be utilizing the gym environment from OpenAI that we learned about in Chapter 8, Reinforcement Learning, to create an intelligent robotic arm. OpenAI created a virtual environment based on Fetch Robotic Arms, which created the first fully virtualized test space for robotics algorithms:

You should have these environments already installed on your computer from when we installed gym in Chapter 11, Deep Learning for Finance. We'll just need to add two more packages to get this robotics environment up and running:

brew install cmake openmpi

Both cmake and openmpi are designed to help with the computational efficiency of our program. We'll cover their usage in a more in-depth manner as we work through the code.

MuJoCo physics engine

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