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How lambda layer handle the downsample in LambdaResNet? #11

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qiaoran-dawnlight opened this issue Oct 20, 2020 · 2 comments
Closed

How lambda layer handle the downsample in LambdaResNet? #11

qiaoran-dawnlight opened this issue Oct 20, 2020 · 2 comments

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@qiaoran-dawnlight
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qiaoran-dawnlight commented Oct 20, 2020

Hi,
Thanks for your clear code, i try to implement the LambdaResNet.
Does lambda layer replace all conv2d layer?
If so, how does lambda layer handle the downsample in conv2d, like stride=2?
Or just keep the conv2d if stride =2, replace only the conv2d layers in stride =1?

@PistonY
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PistonY commented Oct 20, 2020

Paper already tell you
We apply 3x3 average-pooling with stride 2 after the lambda layers to downsample in place of the strided convolution.

@qiaoran-dawnlight
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@PistonY Noted ,Thanks

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