A chess AI that learns to play chess using deep learning.
A chess AI that learns to play chess using deep learning and neural networks.
What is A chess AI that learns to play chess using deep learning.?
Deep Pink is a chess AI that uses deep learning and neural networks to play chess. It trains on chess game data to evaluate positions and make moves, applying modern machine learning techniques to a classic game. The project includes a pre-trained model and tools for custom training.
Machine learning enthusiasts, researchers, and developers interested in applying deep learning to games or exploring AI for chess.
It provides a practical, open-source implementation of a deep learning-based chess AI with a pre-trained model and customizable training pipeline, allowing experimentation without starting from scratch.
Overview
Deep Pink is a chess AI that learns to play chess using deep learning.
Use Cases
Best For
- Experimenting with deep learning applied to board games
- Learning how neural networks can be used for game AI
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