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
- 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 the playable Jupyter Notebook
jupyter notebook notebooks/PlayChess.ipynb
Residual Convolutional with 5 main Conv2D layers, using ReLU activation function.
Plot of the model:

