combine을 공부하려면 뭘봐야해?
Generated on 8/7/2024
1 search
To study Combine, you should focus on sessions that cover topics related to Swift and SwiftUI, as Combine is a framework that integrates closely with these technologies. Here are some relevant sessions from WWDC that you might find useful:
- Platforms State of the Union - This session includes a chapter on Swift Assist, which might provide insights into Swift and related frameworks like Combine.
- Support real-time ML inference on the CPU - This session has a chapter on BNNS Graph in Swift, which could be useful if you're looking into how Combine can be used in conjunction with Swift for real-time processing.
For a more focused study on Combine, you might also want to look at past WWDC sessions specifically dedicated to Combine, as well as Apple's official documentation and tutorials on the framework.
Deploy machine learning and AI models on-device with Core ML
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.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
Support real-time ML inference on the CPU
Discover how you can use BNNSGraph to accelerate the execution of your machine learning model on the CPU. We will show you how to use BNNSGraph to compile and execute a machine learning model on the CPU and share how it provides real-time guarantees such as no runtime memory allocation and single-threaded running for audio or signal processing models.