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Keras still has CNTK and Theano backends in addition to Tensorflow. Given that both frameworks are not being developed anymore, is there any point in maintaining those backends in the future?
F# language has a concept called "computation expressions" which are related to monads. They are also sometimes called workflows. But the article is using "workflow" in the more common language way which was confusing to me at first.
I loved OCaml as well but the lack of libraries pushed me to another ML variant: F# on .net platform. With .net core and F# tooling around it gradually maturing, it is a solid cross-platform functional language.
While the title of the blog post says "for .net core", it is much more than that. The blog post clarifies it is actually targeting the new .net standard so it works on all platforms including .net core (Windows, Mac, Linux), .net framework on Windows, Windows UWP and Xamarin (iOS, Android).
Wait a few months. Then target your library development at .net standard 2.0. It will work across the classic .net framework (Windows), the new cross-platform .net core (Windows, Linux, OSX) as well as the Xamarin (iOS, Android, Windows UWP).