Neural network chess engine trained on Gary Kasparov's games.

Last update: Jun 22, 2022

Overview

Neural Chess

It's not the best chess engine, but it is a chess engine.

Proof of concept neural network chess engine (feed-forward multi-layer perceptron trained on Gary Kasaparov's games).

Spoiler alert: it does not play as well as Kasparov.... 😆

Naive goal of predicting probability of winning based on board position (i.e. during training, every move in a game that was won is considered a "good move", any move in a game that was lost is considered a "bad move", and moves from drawn games have no value.

Installation

Install requirements with python3 -m pip install -r requirements.txt
Run app with python3 play.py

Credits

Inspired by George Hotz' twitchchess stream

Owner

Computer science student

GitHub Repository

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