I am using a pretrained mobilenet as follows :
model = torchvision.models.mobilenet_v2(pretrained=True)
model.children() gives all the layers, including the last classification head.
model.features gives all the layers excluding the classification head.
Why is this so? Are there any cases where both give the same result?
I would also be thankful if anyone pointed me to the PyTorch documentation for
.features (I couldn’t seem to find it).