Chess-AI-Utkarsh
PublicThis project implements a neural network-based chess AI using TensorFlow and Keras. The model uses convolutional layers and residual blocks to predict the best chess moves and evaluate board states. It combines policy and value predictions to create a robust chess-playing AI, inspired by AlphaZero's architecture.
board-representation-in-machine-learningchess-aidata-generatorsdeep-learningfen-parsingmixed-precision-trainingneural-networkspythonreinforcement-learning-conceptsresidual-networks
Creat：2024-11-07T22:08:12
Update：2024-11-20T21:31:32
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