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This looks like a really easy way to integrate your own custom ML models into your app. I imagine this would appeal to a lot of hobbyist developers, especially
by rasmi 8y ago
This looks like a really easy way to integrate your own custom ML models into your app. I imagine this would appeal to a lot of hobbyist developers, especially given how simple it is.
The docs [1] also seem to imply they're using transfer learning from more robust models for their image classifier: "Use at least 10 images per label for the training set, but more is always better." and "Create ML leverages the machine learning infrastructure built in to Apple products like Photos and Siri."
[1] https://developer.apple.com/documentation/create_ml/creating_an_image_classifier_model https://developer.apple.com/documentation/create_ml/creating...
- tomnipotent 8y agoThis will appeal to any developer that wants to deploy machine learning models on macOS or iOS and get the most out of the hardware (Metal w/Core ML). > The docs [1] also seem to imply they're using transfer learning from more robust models for their image classifier I read that as a recommendation for the minimum number of training samples per label (e.g. 10 photos w/leopard tagged). Apple's Turi Create [1] also also been getting some love these last few months to add support for exporting to Core ML. [1] https://github.com/apple/turicreate https://github.com/apple/turicreate