Sean Grove <otokora...@gmail.com> writes: > Very elegant. From the example, it looks like it takes away a great > deal of the tedium of neural networks. >
Thanks, that is certainly the goal. > > Do you have any more significant code examples than those listed on [3]? > At the bottom of [3] I link to both a perceptron and a back propagation example, in both cases learning decimals from their binary representations. Beyond that I don't have any more complex examples thus far. This is certainly a work in progress, and over the course of the next week I will be implementing radial basis neurons overtop of this DSL and testing them over some slightly more realistic data (a classification problem). I'll post that work up to [3] as it progresses. > > Sean > > On Nov 10, 2010, at 2:20 PM, Eric Schulte wrote: > >> 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/ >> -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en
