Accuracy in fisher discriminan analysis

autograd
1

Hello all,
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

  1. How can I compute accracy here? As the last layer may represent features which learners with fisher.
  2. The loss become to negative during training. Is it true here?

Thanks in advance