On a technical point, I was impressed by their CoreML model format. The specification is open, optimized for maximum transferability, it can convert models from Keras (with TensorFlow), scikit-learn and others, and their Python model converter is also open source: https://pypi.python.org/pypi/coremltools
Once you have your model as a CoreML file, it is stupidly simple to incorporate it into an app (the live demo with the flower model was very impressive), and Xcode will convert it to a machine-optimized version.
I was skeptical when I saw the announcement, but honestly it seems like a game changer -- to be able to drag-and-drop models that other people have trained into an app and use them with virtually zero boilerplate is just great.
In what sense? caffe2 has been able to run models trained elsewhere for a long time already. Do you mean it in the sense that the mobile platform has a standard that will rally a larger community behind common models?
Once you have your model as a CoreML file, it is stupidly simple to incorporate it into an app (the live demo with the flower model was very impressive), and Xcode will convert it to a machine-optimized version.
I was skeptical when I saw the announcement, but honestly it seems like a game changer -- to be able to drag-and-drop models that other people have trained into an app and use them with virtually zero boilerplate is just great.
Video here: https://developer.apple.com/videos/play/wwdc2017/703/