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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

TensorFlow, PyTorch, and Keras

In this section, we'll introduce three of the most popular deep learning frameworks: TensorFlow, PyTorch, and Keras. While we'll look at the basic functionality of each of the packages, we'll learn about specific deep learning functions for each of the frameworks in later chapters as part of our hands-on approach to learning AI.

TensorFlow

TensorFlow is the most popular, and most contributed to, deep learning library. Originally developed by Google Brain for use on Google's own AI products, it was open sourced in 2015 and has since become the standard for deep learning. TensorFlow underlies all of Google's own deep learning based products such as Google Translate and...

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