I have a resnet network with a fisher discriminant analysis loss to update my weights. The network use for feature learning like as triplet loss. I have two questions
- How can I compute accracy here? As the last layer may represent features which learners with fisher.
- The loss become to negative during training. Is it true here?
Thanks in advance