Dear all,
As I know, we have some layer for normalization. For example, tanh() normalize the input to [-1,1], sigmoid normalizes the input to [0,1]. …
I am looking for a layer (has both backward and forward as tanh) which can normalize the input to a range of zero mean and unit variance. Could you suggest any function in pytorch? Otherwise, how could I write the customer layer to perform it? Thanks