what is the difference between backward and backwardloss in " Define a Custom Regression Output Layer " ?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
In the demo of " Define a Custom Regression Output Layer " ( https://ww2.mathworks.cn/help/nnet/ug/define-custom-regression-output-layer.html ) , the method "backwardloss " or "forwardloss" is used, but in the example "Define a Custom Deep Learning Layer with Learnable Parameters" (https://ww2.mathworks.cn/help/nnet/ug/define-custom-deep-learning-layer.html), the name changed to be "backward" or "forward". so, what is the difference between backward and backwardloss? and when to invoke these functions?
0 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Sequence and Numeric Feature Data Workflows dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!