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Dropout #5

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sbrugman opened this issue Jun 1, 2018 · 1 comment
Open

Dropout #5

sbrugman opened this issue Jun 1, 2018 · 1 comment

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@sbrugman
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sbrugman commented Jun 1, 2018

The paper mentions

"Dropout [9] was applied after each IndRNN layer with a dropping probability of 0.25 and 0.1 for CS and CV settings, respectively."

and

"Dropout [9] with a dropping probability of 0.35 were used among IndRNN layers (including embedding) while 0.8 is used after the last IndRNN layer."

It would be nice to have that included too, i.e. https://pytorch.org/docs/master/_modules/torch/nn/modules/dropout.html

@LiyangLiu123
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LiyangLiu123 commented Apr 16, 2019

I am redoing the thesis on NTU skeleton dataset. I'm also so confused about where should the dropout be put because I didn't see it in the code. When I redo the code, I just put dropout at the end of the loop of the forward function in model indrnn. But the result is not so good

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