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(My) Solutions to Fastbook chapters
Hi,
Thanks so much for your initiative about the solution for chapter 18.
I just have one suggestion for question 11: Why can't we use plain CAM for the inner layers of a network?
Your answer is : We need to get the gradients of each layer. These are not stored with plain CAM.
However I think in plain CAM we don't need gradient but CNN activations mapping with the final linear activation. The reason it won't work here is the size mismatch between the inner layer and the final activation. For the model used in the book I have:
act[0].shape, learn.model[1][-1].weight.shape
(torch.Size([256, 14, 14]), torch.Size([2, 512]))
Where 256 and 512 is not equal
What do you think ?
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