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TensorFlowSharp has bindings to the C API of TensorFlow, but no implementations of the Python stuff that you really need for training, such as optimizers.

I really want to use F# for training deep learning models, but at this point it doesn't seem feasible, at least not without a lot of hassle compared to using Python.

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Hmm, didn't realize that; I only ever really verified it worked and worked with F# haha. In the scheme of things the optimizers are rather small bits that could be encapsulated quickly..

Poking around it looks like Accord.Net is interested in getting CNN support in via TensorFlowSharp: https://github.com/accord-net/framework/issues/92 . Then there is ConvNetSharp.

I'm sure a fun project for someone would also be to implement all this in a pure F# library. It supposedly has some pretty good GPU libs.

Here's my project in non-public tech preview. Not open source, but free for non-commercial.

https://github.com/losttech/Gradient-Samples

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