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.

https://blogs.mathworks.com/deep-learning/2020/05/08/raspberry-pi-poker-player/

Version 1.1.0 (308 KB)
203 Downloads
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7 May 2020

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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 the link:
Raspberry Pi Poker Player » Artificial Intelligence - MATLAB & Simulink
Code is available on GitHub.

Cite As

MathWorks MATLAB Hardware Team (2026). 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. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with R2020a and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
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

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.