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Reason for using random region only in 'mini-batch' #3

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ildoonet opened this issue Jul 17, 2019 · 1 comment
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Reason for using random region only in 'mini-batch' #3

ildoonet opened this issue Jul 17, 2019 · 1 comment

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@ildoonet
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If we use random regions of data from full dataset, Can it improve the performance further?

Have you experimented this?

(currently, random regions are sampled from 'mini-batch')

@ildoonet ildoonet changed the title Reason for using random region in 'mini-batch' Reason for using random region only in 'mini-batch' Jul 17, 2019
@hellbell
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@ildoonet
It is a good question. Unfortunately, we didn't experiment that.
Currently, we consider the efficiency for loading image data, so the random region is selected only in the 'mini-batch'.
It might improve the performance by using outside the 'mini-batch' data, but I guess there is no big difference if we use sufficiently large mini-batch size (we use 256).
I will be very happy if you test and verify this. :)
Thanks!

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