Hello, I’m trying to use the inceptionv3 pytorch model but the outputs just seem odd. While in a ResNet my outputs look like this:
tensor([[0.3754],
        [0.5348],
        [0.4032],
        [0.3661],
        [0.4373],
        [0.3900],
        [0.4651],
        [0.4704],
        [0.4020],
        [0.3750],
        [0.5548],
        [0.4493],
        [0.3471],
...

on Inception I get this:
tensor([[-2.0164],
        [-2.2767],
        [-3.5188],
        [-2.0595],
        [ 0.1911],
        [-2.0991],
        [-0.4889],
        [-1.2856],
        [-1.0438],
        [-3.2926],
        [-2.7320],
        [-0.4018],
        [-0.8456],
        [ 1.7160],
        [ 2.0525],
        [-4.7007],
        [-2.5639],
        [-0.3776],
        [-0.1715],
        [-0.7751],
        [-2.6474],
        [-0.4403],
        [-1.1878],
        [-0.8396],
        [-1.7131],
        [-0.5675],
        [-0.7635],

I can’t understand the values amplitude and how to I get something binary from here. Is there any post processing required after Inception or it is just my implementation that is incorrect?
Here’s my implementation of the InceptionV3 model.
Regards