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Something I don't understand about the structure of alexnet #22

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ChenDRAG opened this issue Sep 13, 2019 · 1 comment

ChenDRAG commented Sep 13, 2019

nn.Hardtanh(inplace=True),
BinarizeConv2d(int(192*self.ratioInfl), int(384*self.ratioInfl), kernel_size=3, padding=1),

this is a sample code from alexnet binary.py, what i don't understand is since you already binarize the input in

BinarizeConv2d function,

so what is the point of using hardtanh activation?

The text was updated successfully, but these errors were encountered:

masterdezign commented Dec 1, 2019 •

edited

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so what is the point of using hardtanh activation?

To approximate sign gradients in the backward pass

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