1/ PSA/rant: If your'e a developer trying to port a deep learning model from Onnx to Core ML and are finding that Apple's onnx-coreml conversion script isn't working out of the box- you aren't alone. While iOS13 has brought about great improvements to what you can do in Core ML,
You mean like train it and everything else? Honestly I haven’t bothered digging into that because I’m very happy with FastAI and haven’t seen any compelling reason to move off it. I (superficially) think you may be able to but not sure if it would be worth it....
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I’m curious if it’s worth it. The gains from being able to use the hardware 100% efficiently sound promising but I’ve never done this before so I’m looking to hear from some other people who have tried first.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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coreml (not swift) is pretty much required if you want to “utilize all of apple’s hardware magic“

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I am about to write a follow-up blog post providing an end-to-end example of how to go from fastai to a react-native coreml app. If you need something right away see unfinished project https://github.com/davidpfahler/react-native-ml-app … and notebookhttps://colab.research.google.com/drive/1LrS6Sn-B7bU_YE_zIOXIysXCsW1-4iCM …
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