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Feature Request: indices-based upsampling layer #4

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waissbluth opened this issue Oct 28, 2016 · 5 comments
Open

Feature Request: indices-based upsampling layer #4

waissbluth opened this issue Oct 28, 2016 · 5 comments

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@waissbluth
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Hello, does anyone have an implementation of this, or any thoughts on how to implement it?

Thanks

@preddy5
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preddy5 commented Oct 29, 2016

Hey @waissbluth I didnt get enough time to work on it yet, I'll probably work on in a week or two.

@waissbluth
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Hey, is there anything I can do to help out with this? would really appreciate the feature.

@mpariente
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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?

@redouanelg
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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

@mpariente
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mpariente commented Mar 16, 2017

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.

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4 participants