NeuroChess

A deep learning chess bot that uses CNN and RNN to play chess. Architecture includes a dense layer, reshape layer, convolutional layer, max pooling layer, flatten layer, LSTM layer, and another dense layer. NeuroChess training (currently in Beta) and optimizations are in development.

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Installations and Dependencies

• tfjs-node
• yarn
• ReactDOM
• Chess.js
• Chessboardjsx
• @tensorflow/tfjs
• @tensorflow/tfjs-layers
• PapaParse
• Typescript
• encoding/json
• net/http
• github.com/notnil/chess package

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Prerequisites

• Node.js
• npm 'npm - v'
• 'npm install'
• TypeScript 'npm install -g typescript'
• React 'npm install -g create-react-app'
• TensorFlow.js 'npm install @tensorflow/tfjs'
• Chess.js 'npm install chess.js'
• Chessboardjsx 'npm install react-chessboardjsx'
• express and http-proxy-middleware 'npm install express http-proxy-middleware'

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Development and Production

Development

1. Clone the repository and install prerequisites.
2. Navigate to the project directory via the terminal.
3. Run 'yarn install' for dependencies and 'yarn start' for the development server.
4. For the app, navigate to 'http://localhost:3000'

Production

• npm run build
• npm run start-proxy (Go server requests go to 'http://localhost:8080/api'
• Start the server through the command 'yarn start-proxy'. API requests go to port 5000.

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