I'm going to try the following; watch as a layer (in Asa H) learns cases/categories. If the total number of categories being learned levels off, at that point only, begin to train the next layer up. Repeat for each layer on up. I am assuming all of the input has been structured, presenting simplest patterns/categories first. That may be a lot of work.