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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

Alpha Zero-like AI for Connect 4

Before we begin working on the AI that plays Connect4, let's briefly understand the game and its dynamics. Connect 4, also sometimes known as Four in a row, Four in a line, Four up, and so on, is one of the most popular board games among children all over the world. We can also understand it as a more advanced version of the Tic-Tac-Toe game, where you have to place three markers of the same type either horizontally, vertically, or diagonally. The board is generally a 6x7 grid, and two players play with a marker each.

The rules of Connect 4 can vary, so let's lay down some concrete rules for the version of the rules that our AI will learn to play:

  • The game is simulated as being played on a vertical board that has seven hollow columns and six rows. Each column has an opening on top of the board, which is where pieces can be dropped in...
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