A cleaner more powerful train! function
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In upgrading
Flux.train!to handle explicit parameters FluxML/Flux.jl#2082 I kept getting confused about the order of the 4 arguments, and why make iterators which make tuples which get splatted... So this is a sketch of an alternative.