Deep_Learning_Poker_Player_using_MATLAB_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 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:
인용 양식
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. 검색됨 .
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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음
버전 | 게시됨 | 릴리스 정보 | |
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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 |
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1.0.3 | Updated the title of the File Exchange Submission. |
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1.0.2 | Added link to Youtube video |
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1.0.1 | Updated the Thumbnail Icon |
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1.0.0 |
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