AI & Deep Learning Using Core ML and Metal Framework
summary
Shows how iOS 11 Core ML and Metal (MetalKit) Swift APIs were used to run deep learning models on-device. Describes integrating those APIs to build an entity-recognition system that extracts specific details from videos, and covers technical challenges of that AI architecture and why Swift mattered for implementation.
AI-written summary · about
chapters (7)
- 0:00AI & deep learning intro
- 1:30Core ML overview
- 3:00Metal for acceleration
- 4:30Core ML with Metal
- 6:00Demo on Metal devices
- 7:30Optimizing neural networks
- 9:00Q&A
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