Basic implementation of a neural network with fully connected layers (multi-layer perceptron) for regression analysis.
Currently it support an arbitrary number of layers, all with the same activation function ('tanh', 'sigmoid' or 'relu') and L2 regularization factor. It is possible to add activation functions using an internal dictionary. The activation function for the output layer is linear.
인용 양식
Alberto Comin (2024). NeurNetRegr (https://www.mathworks.com/matlabcentral/fileexchange/69084-neurnetregr), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
개발 환경:
R2018b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
- AI, Data Science, and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
Help Center 및 MATLAB Answers에서 Sequence and Numeric Feature Data Workflows에 대해 자세히 알아보기
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
1.0.0 |