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♟ Chess AI

Project created with MLOps-Template cookiecutter. For more info: https://mlop-guide.github.io/

You can also run the notebook locally with this repository following this README

📋 Requirements

  • DVC
  • Python3, pip and jupyter
  • GPU Access OR Google Colab
  • Access to ChessAI Google Drive OR the following files:
    • data/dataset.7z
    • models/model-ResConv2d.h5

🏃🏻 Running Project

Running the playable Jupyter Notebook

jupyter notebook notebooks/PlayChess.ipynb

Model

Residual Convolutional with 5 main Conv2D layers, using ReLU activation function.

Plot of the model:

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♟ Simple ChessAI using Residual Convolutional Neural Networks

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