Ok, with this and previous commit I'm working on CONTEXT.  -- to test learning only on part of the example set.  Other parts of the network learn different subsets of the examples, determined by previous layers' neural outputs.  Then we attempt to find which neurons are also able to easily learn other examples, using the non-mon neural function for flocking.   MADE some real coding progress today, I think!!  Next need to deal with "when each layer learns."