The Blue Ocean of Machine Learning: Core ML
summary
The talk explains why Core ML is a major opportunity for iOS engineers, arguing that most people only know the CoreML.framework layer while Core ML includes many deeper capabilities. It covers recent WWDC machine-learning features and how to use the broader Core ML ecosystem (beyond just importing models) to leverage on-device ML in iOS apps.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 2:18What is Core ML
- 4:29Core ML benefits
- 6:41ML in real projects
- 8:51Core ML Tools setup
- 12:30SSD model conversion
- 16:25TensorBoard for analysis
- 19:45Subgraph extraction
- 22:15Swift post-processing
- 24:05Performance gains
- 25:11Summary
related talks
22mCore ML and Your App
11mAI & Deep Learning Using Core ML and Metal Framework
31mPower-Up Your App With Apple’s Machine Learning Frameworks
44mFederated ML on iOS: Protecting User Data in the Age of AI
40mNavigating the Machine Learning Landscape for Apple Devices
25mGetting Started with Machine Learning in your iOS apps
34mDemystifying ML in iOS
40mDeep Learning on iOS