scaling is always a problem can scale normalization yield zeros why do you get zeros in a network when scale normalization yields a lot of zeros what is the scale for normalization why do scale normalization results in zeros why does scale normalization yield zeros why is scale normalization of features so low why does scale normalization yield zeros scale normalization yields very little zeros when scale normalization produces lots of zeros in a model why does scale normalization yield zeros when the minimum count of features within a neural network is often also the count of the feature within many samples, my scale normalization yields a lot of zeros what is the problem with scaling normalization scale normalization yields lots of zeros why does scale normalization return zeros why is scale normalization useful why does scale normalization yield zeros in neural networks can scale normalization yield zero values scaling normalization yields lots of zeros