a little problem about Dropout

[hanyaqian]

Hi @lvapeab

Dropout consists in randomly setting a fraction p of input units to 0 at each update during training time.

I have understood above. But why to divide the remaining result by 1-p. describe here

Regards

[lvapeab]

Hi, maybe this link is useful for you: keras-team/keras#3305 Regards! El 29 jul. 2017 5:39 p. m., "Yaqian Han" <notifications@github.com> escribió:

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Hi @lvapeab <https://github.com/lvapeab> Dropout consists in randomly setting a fraction p of input units to 0 at each update during training time. I have understood above. But why to divide the remaining result by 1-p. describe here <https://github.com/MarcBS/keras/blob/master/keras/backend/theano_backend.py#L1839> Regards — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#24>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AEf6E9cUIct06r2YwsuaZJJLnLhd8pXYks5sSx1kgaJpZM4OnVle> .

[hanyaqian]

Thanks for your reply.