Can someone please tell me which lecture discusses about how to extract the last layer features from resnet34? By last layer, I mean the layer before the fully connected layer.
For example,
learn = ConvLearner.pretrained(arch, data, precompute=True )
learn.load('my_model')
Now, how do I get the last layer features for a given image using my_model
?