Hi guys,
I am using batch normalization weights as scores of the channel importance of previous convulotional layer, similarly to what is done in some network pruning methods.
My objective is to single out the convulotional layers that have the lowest channel importance and get its weights. In essence, the problem is: How do I get the convulotional layer’s channel that is attatched to the lowest weight of the following batch normalization layer.