How can I create and implement Local response Normalization using tensor ops and implement it in my tf.keras models. And should I use it in modern CNN’s? why or why not?
Expression for the Norm :-
Bhack
January 30, 2022, 4:12pm
3
You can this a Keras lambda layer:
It was requested in Keras many times, I think the last one was:
opened 08:47AM - 12 May 17 UTC
closed 09:46AM - 26 Sep 17 UTC
LRN has been [removed](https://github.com/fchollet/keras/pull/331#issuecomment-1… 68585710), maybe in favor of Batch Normalization. The problem is, in my experiments BN layer after a Conv Layer didn't perform well. It performs well on the 5th and 6th Dense layer, but not on the Conv layer
So, why don't you let the user the choice what they want to use?
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