Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.
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Core ML: [ Ссылка ]
Introducing Core ML: [ Ссылка ]
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00:00 - Introduction
01:07 - Integration
03:29 - MLTensor
08:30 - Models with state
12:33 - Multifunction models
15:27 - Performance tools
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Documentation: [ Ссылка ]
Forums: [ Ссылка ]
App: [ Ссылка ]
