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Why is composite function BN-ReLU-Conv3x3 ? #50

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RDShi opened this issue Jul 27, 2018 · 1 comment
Open

Why is composite function BN-ReLU-Conv3x3 ? #50

RDShi opened this issue Jul 27, 2018 · 1 comment

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@RDShi
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RDShi commented Jul 27, 2018

Hello,

The composite function of other models is Conv3x3-BN-ReLU.
Why is DenseNet special?

Looking forward to your answer.
Thanks

@liuzhuang13
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Hi. This is following the preactivation design in the second ResNet paper. https://arxiv.org/abs/1603.05027

The essential difference here is that there are different scaling parameters in the BN layer in each BN-ReLU-Conv3x3. If we use BN after ReLU, every subsequent layer will be based on the same BN scaling parameters.

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