WWDC22: Explore the machine learning development experience | Apple

Learn how to bring great machine learning (ML) based experiences to your app. We'll take you through model discovery, conversion, and training and provide tips and best practices for ML. We'll share considerations to take into account as you begin your ML journey, demonstrate techniques for evaluating model performance, and explore how you can tune models to achieve real-time performance on device.
To learn more about the techniques covered in this session, watch "Optimize your Core ML usage" and "Accelerate machine learning with Metal" from WWDC22.
Explore related documentation, sample code, and more:
Core ML Converters: coremltools.re...
Core ML Tools PyTorch Conversion Documentation: coremltools.re...
Core ML: developer.appl...
Integrating a Core ML Model into Your App: developer.appl...
Improve Core ML integration with async prediction: developer.appl...
Optimize your Core ML usage: developer.appl...
Accelerate machine learning with Metal: developer.appl...
Display EDR content with Core Image, Metal, and SwiftUI: developer.appl...
Get models on device using Core ML Converters: developer.appl...
Convert PyTorch models to Core ML: developer.appl...
More Apple Developer resources:
Video sessions: apple.co/Video...
Documentation: apple.co/Devel...
Forums: apple.co/Devel...
App: apple.co/Devel...