Which way do i have to use the input and target if i use a BCEWithLogitLoss? I think a way like this:
criterion = torch.nn.BCEWithLogisLoss
criterion(input, target)
Why i have numbers different from 0 and 1?
I think i have to use the sigmoid function when i infer the model, but the minimum number is 0.5 for all element  Why?