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Feature Request: indices-based upsampling layer
Hello, does anyone have an implementation of this, or any thoughts on how to implement it?
Thanks
Hey @waissbluth I didnt get enough time to work on it yet, I'll probably work on in a week or two.
Hey, is there anything I can do to help out with this? would really appreciate the feature.
Hey, I would also love this feature! :) Can I do anything to help?
Maybe a custom Maxpooling2D layer which produces an auxiliary output and an Upsample2D which would take an optionnal additionnal input would work?
Hi all, this guy implemented a class he called Depool2D, I'm not sure if it's what you are looking for https://github.com/nanopony/keras-convautoencoder/blob/master/autoencoder_layers.py
Thanks for the link !
I saw it already and I have troubles understanding his DependentDense
.
And also his DePool2D
doesn't receive a switch from the MaxPooling2D
if I read well.