Modify loss function used in classification layer
6 views (last 30 days)
Show older comments
The default loss function used in classification layer is the crossentrophy. How can I modify or change the loss function used in the classification layer?
2 Comments
Greg Heath
on 28 Sep 2019
You will have to define EXACTLYwhat output you want for each class's input.
Greg
Accepted Answer
Kenta
on 28 Sep 2019
https://jp.mathworks.com/help/deeplearning/ug/define-custom-classification-output-layer.html?lang=en
Please refer to this document. This document shows an example to change the loss function into sum of squares error.
In my experience, changing the function into other is not easy, though it is technically possible.
More Answers (0)
See Also
Categories
Find more on Deep Learning for Image Processing in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!