Training Neural Networks using Multi-Class output
조회 수: 4 (최근 30일)
이전 댓글 표시
The Deep Learning toolbox supports classification based training (from feature based data) for ony 1 label per sample. I have a MxD training set (D number of features and M number of samples). Each output should be characterized by 'T' number of labels (ie final output MxT). My question is how do i get around this limitation ? (The labels are mutually exclusive)
댓글 수: 0
답변 (1개)
Raynier Suresh
2020년 12월 1일
One way to obtain multiple labels for a single sample is to branch the network and have multiple classification layers or regression layers.
Refer the below link for designing and training multi-output networks :
참고 항목
카테고리
Help Center 및 File Exchange에서 Sequence and Numeric Feature Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!