With computer vision it is conventional to pretrain lower levels in the network to represent features like edges and colors. These are then available for later application when learning new images. A.s.a. H. was designed to have a generalized version of such transfer learning.*
* See, for example, my papers Trans. Kansas Acad. Sci. vol. 109, pg 159, 2006 and vol. 120, pg 108, 2017 and my blog of 5 Nov. 2015.
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