Hi,

Inspired by cgrand's regexp example [1], I've implemented a simple DSL
for specifying neural networks using Clojure data types.  The code is
available in this gist [2], and a brief introduction with some usage
examples is up at [3].

Construction of this simple language involved a number of choices as to
where to place complexity (into the DSL or into user land), generally I
erred on the side of leaving complexity out of the DSL resulting in
potentially more complex usage, but in increased generality.  I'd love
to hear any feedback on how this could be improved, simplified, or made
more idiomatic.

Thanks -- Eric

Footnotes: 
[1]  https://github.com/cgrand/regex

[2]  https://gist.github.com/671636

[3]  http://cs.unm.edu/~eschulte/src/neural-net/

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