Skip to main content
1 vote

Applying dropout effectively in CNN

Firstly, why do we use dropout in the first place? Dropout is a regularization technique designed to improve generalization and prevent overfitting. With this in mind, you should not necessarily ...
Karl's user avatar
  • 671
1 vote

Creating a custom loss function for an image classification model where the label matters

I think it will be very difficult to solve this with the cross-entropy, since this loss only looks at the class of your current prediction and never at any other class (so you cannot really consider '...
picky_porpoise's user avatar

Only top scored, non community-wiki answers of a minimum length are eligible