Is there a term for using the best and worst results of a neural network classifier as labelled input for another neural network? Or isn't this approach valid at all? E.g. I train a neural network ...
I use scale normalization for the features of my neural network. As many of the values occur very infrequently, i.e. the minimum count within all samples is often also the count of the feature within ...