Hello everyone, I’m new to pyTorch.
Is there a way to define a deconvolution layer that takes its weights (conv. filters) from a previous convolutional layer?
In pseudo-code:
x=conv2d(W,x)
x=convTransponse2d(W.T,x)


For reference, I’m trying to implement this network:
http://ieeexplore.ieee.org/document/7962256/ 33