I try to use pretrained
vggnet19. In the case of resnet, there are batch normalization layers which are likely to invariant to input normalization (e.g.
torchvision.transforms.Normalize). However, in the case of vggnet, I think that if the input range is different, it will cause different results.
What is the range of the input value when you trained the CNNs in torchvision?
Is it the range of [-1.0, 1.0] or [0, 1] ?