Backpropagation for training an MLP

버전 1.7.0 (2 MB) 작성자: BERGHOUT Tarek

this code returns a fully trained MLP for regression using back propagation of the gradient. I dedicate this work to my son :"Lokmane ".

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4.7

(13)

다운로드 수: 5.4K

업데이트 날짜: 2020/5/30

라이선스 보기

BP algorithm is one of the most famous algorithms for training a feed forward neural net , it allows to update weights by moving forward and backword until the error function stuck at its local minimum.

in this code we explain step by step in comments how we can train a neural net with BP algorithm with additional illustrative features.

https://www.youtube.com/watch?v=vYZdBgS-Z8A&feature=youtu.be

인용 양식

BERGHOUT Tarek (2024). Backpropagation for training an MLP (https://www.mathworks.com/matlabcentral/fileexchange/69947-backpropagation-for-training-an-mlp), MATLAB Central File Exchange. 검색됨 2024/9/16.

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개발 환경: R2013b

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버전	게시됨	릴리스 정보
1.7.0	2020/5/30	description	다운로드
1.6.0	2019/8/31	Notations are updated according to attached pdf document	다운로드
1.5.0	2019/5/15	a prediction function is added to meet some student requests	Zip Toolbox
1.4.0	2019/5/2	youtube link	Toolbox Zip
1.3.0	2019/4/5	very simple code with many comments to make easy to be understood	Zip Toolbox
1.2.0	2019/4/5	new very simple code with comments to be very easy to understand.	Toolbox Zip
1.1.0	2019/4/4	new version	Zip Toolbox
1.0.0	2019/1/9		Toolbox Zip