What's new in Core ML 3

Though it didn't get a ton of stage time during the keynote at this year's WWDC, there's a lot to be excited about in the latest iteration of Apple's machine learning framework, Core ML 3. In this post, I'll highlight the biggest changes to the software and discuss their implications for developers and machine learning engineers. The biggest addition to Core ML is the introduction of on-device training. Prior to this release, Core ML supported inference only. Training was done server-side with a framework like TensorFlow or PyTorch, and models were converted to Core ML in order to make predictions in an app. Core ML 3 changes that, becoming the first widely available machine learning framework to support both inference and training directly on-device.