> Meanwhile, the idea of ML models fundamentally being differentiable algorithms – often called differentiable programming – has caught on. > We need a languag

> Meanwhile, the idea of ML models fundamentally being differentiable algorithms – often called differentiable programming – has caught on. > We need a language to write differentiable algorithms, and Flux takes Julia to be this language. Recently on HN there was some discussion of this paper by Conal Elliott on automatic differentiation in a pure functional language (Haskell): https://arxiv.org/abs/1804.00746 https://arxiv.org/abs/1804.00746 This is a rather large and vague question but I'm curious whether people have comments on the relative merits of Julia vs a pure functional language for supporting "differentiable programming" for ML?