AccelerateHS / AccelerateHS/accelerate
Support Automatic Differentiation
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library/ecosystem
- Lingua principale
- Haskell
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Descrizione
If we had AD, Accelerate would be ready for creating Deep Learning frameworks on top of it.
I've found a [very nice post](https://rufflewind.com/2016-12-30/reverse-mode-automatic-differentiation) explaining a way of implementing it in Rust and Python.
The thing is, if we implement it _inside_ Accelerate it would be great, as all programs could be passed through AD.
The source for the obsolete `rad` package created by Edward Kmett is quite simple, and might be trivial to implement. (http://hackage.haskell.org/package/rad-0.1.6.3/docs/src/Numeric-RAD.html)
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