I’m trying to understand “Visualizing and Understanding Convolutional Networks” https://arxiv.org/pdf/1311.2901.pdf 1
The paper states: the deconvnet uses transposed versions of the same filters, applied to the rectified maps
Is it possible to implement this step in a short example in pytorch? Given an unpooled, rectified map; how would the transposed filter be applied against it?
Thanks