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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Building an AlphaZero-like Mobile Game App

Although the ever-increasing popularity of modern Artificial Intelligence (AI) was essentially caused by the breakthrough of deep learning in 2012, the historic events of Google DeepMind's AlphaGo beating Lee Sedol, the 18-time world champion of GO, 4-1 in March 2016 and then beating Ke Jie, the current #1-ranked GO player, 3-0 in May 2017, contributed in large part to making AI a household acronym. Due to the complexity of the GO game, it was wildly considered an impossible mission, or impossible for at least one more decade, that a computer program would beat top GO players.

After the match between AlphaGo and Ke Jie in May 2017, Google retired AlphaGo; DeepMind, the startup Google acquired for its pioneering deep reinforcement learning technologies and the developer of AlphaGo, decided to focus their AI research on other areas...

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