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About the implementation of stochastic depth #9

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mai556 opened this issue Jun 25, 2022 · 2 comments
Open

About the implementation of stochastic depth #9

mai556 opened this issue Jun 25, 2022 · 2 comments

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@mai556
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mai556 commented Jun 25, 2022

Hi!
In the original paper of stochastic depth, The formula is expressed as
image
Why mention it be a bug? And fix it as
image

@Zhou2019
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hi, have you found out the reason?

@Zhou2019
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hi, I have found the reason in the paper "A Survey on Dropout Methods and Experimental Verification in Recommendation“, which said " To keep training and testing conditions consistent, all the weights need to be multiplied by p during testing, i.e., take W(l)test = pW(l); or it multiplies all outputs by 1/p during training so that the expected output is consistent with testing time. "

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