In order to learn more about the tech underlying DNN, I've been tinkering with a toy, very statically-typed, TensorFlow-like system in Scala. It is nowhere near ready for useful work and likely never will be, but lemme know if this piques your interest:https://github.com/avibryant/nda
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Replying to @avibryant
Fun project! I saw another "typed interface to <deep-learning-tool>" project recently but predictably I can't find it now
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Replying to @manyangled
To be clear this (for better or worse, probably worse) doesn't wrap TensorFlow or anything else, it's Scala all the way down.
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Replying to @avibryant
Yes! I just figured you might find it interesting, what with all the typing and TF
... If I could find it
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Replying to @manyangled @avibryant
It was the Haskell one that Jose Alonso tweeted, right?
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Replying to @willb @avibryant
Erik Erlandson Retweeted José A. Alonso
Erik Erlandson added,
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Replying to @manyangled @avibryant
I’m just barely too slow! (Types and NNs is a conversation we need to have soon.)
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Replying to @willb @manyangled
On bad days I feel like I need to just give in and jump on the Python bandwagon to do NN stuff, given all the investment there. But I do wonder how much demand/value there is in providing a typed alternative.
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Replying to @avibryant @willb
Let me tell you about that time one of my co-workers wasted two weeks of RNN training because of an incredibly hard-to-find bug that was obscured by python's permissive typing...
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I'm not even going to claim the python ML ecosystem isn't good (it is), but dynamic typing bugs are a real thing.
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Relevant, I guess:https://github.com/plaidml/plaidml/wiki/Tile-Tutorial …
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