Hi
I'm thinking about writing my thesis about the advantages and disadvantages of several programming languages when building neural networks.
I'm quite early in my planing and don't have a lot of knowledge right now, but I'm getting there, so please be gentle ;) . (I'm playing around with PyBrain right now, let's see how that goes)
I am wondering now:
is this topic realistic (are there just too many languages to consider and is it too much work to get done in one semester)
is it "new" (or are there already a lot of papers on the matter which I haven't found until now)
is it a stupid topic (because there are already languages/librarys that are focussing on that task)
P.S.: Also posted this in /r/compsci, hope to get different angles that way.
Update: I wrote the professor about the Idea and he told me that it would be possible to try to design a NN-language, so it's similar to the Idea someone had further down. The Prof considered haskell, as it already has a library to deal with graphs (which NN are). But I think he does not know about the specialized NN-Modules/Libraries which already exist. I will try to teach myself about existing languages over the weekend and try to decide if this is something I would want to do.
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