Hello,
if i write this line of code:
model = torchvision.models.googlenet(pretrained=True)
and i train the model as it is without any modifications, what layers will be trained? what is the default requires_grad state? and as i saw, the output size (# of classes) of the pretrained model is 1000 and i trained it on 2 classes dataset without modifying the last layer. How can it be possible?
Thanks!