Deep_Learning_Poker​_Player_using_MATLA​B_and_Raspberry_Pi

This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi. The poker-playing al
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Actualizado 25 abr 2020

This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi. The poker-playing algorithm consists of a deep learning network that predicts the cards, and a custom MATLAB algorithm that identifies ranked hands from the predictions and then makes bets like an actual player would. The algorithm can finally be deployed to a Raspberry Pi hardware.

For a detailed demonstration of the application, visit this link:

https://www.youtube.com/watch?v=RDGMdhoFPS0

Citar como

Meeshawn Marathe (2024). Deep_Learning_Poker_Player_using_MATLAB_and_Raspberry_Pi (https://github.com/mathworks/Deep_Learning_Poker_Player_Using_MATLAB_and_Raspberry_Pi/releases/tag/1.1.0), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
Compatible con cualquier versión desde R2020a
Compatibilidad con las plataformas
Windows macOS Linux

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Versión Publicado Notas de la versión
1.1.0

See release notes for this release on GitHub: https://github.com/mathworks/Deep_Learning_Poker_Player_Using_MATLAB_and_Raspberry_Pi/releases/tag/1.1.0

1.0.3

Updated the title of the File Exchange Submission.

1.0.2

Added link to Youtube video

1.0.1

Updated the Thumbnail Icon

1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.