first, sigmoid -> BCE loss
second, softmax -> multilabel classification cross-entropy
but, parameter sharing situation
sorry, I am not good at writing English.
multi label learning very well, but binary learning not good.
loss = loss1 + loss2
Should I give weight to loss?
I would appreciate your reply.