[shabadoop]

I think the idea is it sets up Neural Networks that are then run in Torch, with some nice diagram generating tools. I don't know if that's something people will actually use, but it looks like a pretty concise way to generate a pretty complicated Neural Network, which could be a worthwhile idea considering how complex the more advanced ones are.

[soup10]

Ah I see. I guess Haskell wrapper for Torch with diagrams doesn't sound as impressive.

[shabadoop]

It's not exactly a wrapper, since you presumably still use the generated NN in LuaJIT. AI isn't my field, but it seems like a useful tool - actually setting up a complex neural network seems to be a lot of grunt work, comparatively speaking. There's probably a place for a tool that nicely abstracts over that part of the process.

[agibsonccc]

This is a great service actually. Visualizing network architectures is good for teaching and discussing things. I use json in deeplearning4j and it's crazy hard to keep track of all the possible combinations of nets so it gets messy quick.