CoreML in Swift for iOS | Machine Learning & Object Detection

In this video, we'll be taking a look at how to use Core ML in Swift for iOS development. Core ML is a powerful framework that allows you to easily integrate machine learning into your apps. We'll start by setting up a basic project in Xcode and then demonstrate how to use the Create ML framework to train and deploy a model for object detection. You'll see how easy it is to get started with Core ML and how it can help you build smarter, more engaging apps. Whether you're a beginner or an experienced developer, this video will give you the tools you need to get started with Core ML and machine learning in Swift. So if you're interested in learning more about Core ML and how it can help you build better apps, be sure to watch this video from start to finish!

Chapters:
0:00 Overview of Machine Learning in Swift
0:43 What is CoreML?
2:35 CoreML Architecture
3:25 Advantages & Disadvantages of CoreML
4:30 How to get a Machine Learning Model
5:58 Overview of Create ML
8:32 Training and Building ML models with Create ML
22:10 Thanks for watching

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[Amuo-jq]

this is not object detection its more like image Cls