If I'm correct the key issue is the need for a deeper level of control, and that Python as as scripting language gluing things together doesn't afford that. Th

If I'm correct the key issue is the need for a deeper level of control, and that Python as as scripting language gluing things together doesn't afford that. They talked about using Swift for differentiable programming, is there something unique in Swift that enables that? From what research I've done it seems the techniques of Deep Learning are much more adaptable than the standard sklearn fit/predict template. I was a bit surprised since fast.ai seemed to be big on PyTorch, it seems a paradigm switch to TensorFlow, but that's what research is all about. In addition to the TensorFlow / Pytorch dichtomy there seems to be Julia's Zygote, still in early stages. Deep Learning is like The Thing, you look away from it for a few minutes and it's sprouted legs out of its head and walked off into a different room: https://en.wikipedia.org/wiki/Differentiable_programming https://en.wikipedia.org/wiki/Differentiable_programming "Some day this Singularity's goin' end..."