hello sir. I’m using sigmoid activation fee prediction. I have 30 images in test set. Output will be in the form of
Image.        Prediction.                         Label


          Tensor([0.94,0.123])        tensor([1.,0.])



          Tensor([0.12,0.76])        tensor([0.,1.])



          Tensor([0.96,0.153])        tensor([1.,0.])



          Tensor([0.94,0.23])        tensor([1.,0.])



And so on for 30 images.
Can you please tell me about labels and how to predict single probability?