our brain came up with renormalization in physics probably because that is how our brain deals with complexity. Deep neural networks were built following the way we know our visual cortex and recognition works. The same brain, the same method. Not surprisingly. What would be surprising is if it happened to be the best/optimal/etc method :) as this method is a subject to biological constraints where is computers (or whatever another "thinking entity" would appear) don't (willn't) have them.