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Yes, all conv layer is treated as res layer (without bias). For ResNet18 only contain one conv layer and the rest are res, FC. It is a simplicity when I write the code.
Hi,
I was looking into the ResNet18 pytorch code, and noticed the following sequence:
Unless I'm wrong, this means that none of the layers will be treated as Conv for this code.
Is this behaviour intended?
Thanks,
Dan
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