Deep_Learning_Poker​_Player_using_MATLA​B_and_Raspberry_Pi

버전 1.1.0 (308 KB) 작성자: MathWorks MATLAB Hardware Team
This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi.
0.0
(0)
다운로드 수: 203
업데이트 2020/5/7
GitHub에서 라이선스 보기
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.

인용 양식

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. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2020a
R2020a 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
태그 태그 추가
새 탭에서 열기

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전 게시됨 릴리스 정보
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

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.