machine learning - Why batch normalization over channels only in CNN -

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i wondering, if in convolutional neural networks batch normalization should applied respect every pixel separately, or should take mean of pixels respect each channel?

i saw in description of tensorflow's tf.layers.batch_normalization suggested perform bn respect channels, if recall correctly, have used other approach results.





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