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Getting nan values while using response normalization layer #8

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GoogleCodeExporter opened this issue Sep 30, 2015 · 1 comment
Open

Getting nan values while using response normalization layer #8

GoogleCodeExporter opened this issue Sep 30, 2015 · 1 comment
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auto-migrated Priority-Medium Type-Defect

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The network training is fine without adding any contrast normalization layer 
(all types), but ones add the contrast normalization layers, after several 
iterations the net gets nan values.  I tried different values of the size, 
scale and pow values, and tried to place the layer before and after pooling 
layer.

Original issue reported on code.google.com by zybzm...@gmail.com on 8 May 2013 at 7:44
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I have a similar issue. Does it still work when you remove the contrast 
normalization layer?

Original comment by olivern...@gmail.com on 13 Sep 2013 at 7:30

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