PiRockPaperScissors

Play the classic game of Rock Paper Scissors with your Raspberry Pi with Machine Learning.
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CNN Model with Keras

Architecture

Performance

Loss	Accuracy	Validation Loss	Validation Accuracy
0.0593	0.9787	0.1108	0.9722

Predictions

Training

Please refer to the RPS CNN Training.ipynb file in the notebooks folder.

Contributing:

Contributions are what makes the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

All you simply need to do is:

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request