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Under my understanding, the meaning of batch normalization is normalization of feature value distribution.
Therefore, batch normalization is located after each convolution layer.
With same reason, I also add batch normalization after upsampling.
Also, when I did experiment to change location between upsampling and batch normalization,
the accuracy is slightly decreased.
HI, I haven't figure out why a bn is used after unsample, is the bn necessary? I would really appreciate for your reply
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