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relu5_3 #46

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yossitsadok opened this issue Jun 18, 2017 · 2 comments
Closed

relu5_3 #46

yossitsadok opened this issue Jun 18, 2017 · 2 comments
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@yossitsadok
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Hello,

Is there a particular reason why the Inference continue from the "conv5_3" level of the vgg_net and not from the "relu5_3" ? I mean teh input to "POOL 5" is "conv5_3" and not "relu5_3"

What am i missing?

Thanks!

@shekkizh
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My take is that relu layers by themselves aren't going to affect the inference in this case since they are merely thresholding functions. Not sure if that answers your question but am closing this issue for now.

@varungupta31
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@yossitsadok #94 (comment)

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