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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

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Pages 380 pages
Edition 1st Edition
Languages
Authors (2):
Anubhav Singh Anubhav Singh
Profile icon Anubhav Singh
Rimjhim Bhadani Rimjhim Bhadani
Profile icon Rimjhim Bhadani
View More author details
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction to Deep Learning for Mobile 2. Mobile Vision - Face Detection Using On-Device Models 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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