Neural Network non mutually exclusive cross entropy loss function
조회 수: 1 (최근 30일)
이전 댓글 표시
Hello,
I have a neural network with 100 outputs which solves a binary classification problem, ie every output can take value 0 or 1. I want to use cross-entropy performance function but as I see it only supports classification with mutually exclusive outputs. Is there any way to use crossentropy for non mutually exclusive outputs? I have found this answer but it seems not to work. ( https://www.mathworks.com/matlabcentral/answers/213915-can-target-vector-of-neural-network-have-sum-of-columns-1 ) Thanks in advance.
댓글 수: 0
채택된 답변
Greg Heath
2018년 5월 5일
The target matrix columns should contain the
NON-NEGATIVE UNIT SUM APRIORI CLASS PROBABILITIES !!!
See any text regarding statistical classification
Hope this helps
Thank you for formally accepting my answer
Greg
댓글 수: 0
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Deep Learning Toolbox에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!