Tabula rasa learning again

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.