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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

You're reading from   Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Length 380 pages
Edition 1st Edition
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Authors (2):
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Rimjhim Bhadani Rimjhim Bhadani
Author Profile Icon Rimjhim Bhadani
Rimjhim Bhadani
Anubhav Singh Anubhav Singh
Author Profile Icon Anubhav Singh
Anubhav Singh
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Deep Learning for Mobile 2. Mobile Vision - Face Detection Using On-Device Models FREE CHAPTER 3. Chatbot Using Actions on Google 4. Recognizing Plant Species 5. Generating Live Captions from a Camera Feed 6. Building an Artificial Intelligence Authentication System 7. Speech/Multimedia Processing - Generating Music Using AI 8. Reinforced Neural Network-Based Chess Engine 9. Building an Image Super-Resolution Application 10. Road Ahead 11. Other Books You May Enjoy Appendix

Reinforced Neural Network-Based Chess Engine

Games have been provided with an entire section of their own on several online application stores and on almost every software store as well. The importance and craze of games cannot be overlooked, which is why developers all over the world keep trying to come up with better and more engrossing games.

In the world of popular board games, chess is one of the most competitive and complex games that is played all over the world. There have been several attempts to come out with strong automated programs for playing chess and competing against humans. This chapter will discuss the approach that's used by the developers at DeepMind who created Alpha Zero, a self-learning algorithm that taught itself to play chess so that it could beat the then best chess AI on the market, Stockfish 8, with a one-sided score in just 24 hours of...

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