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Mastering iOS 14 Programming

You're reading from   Mastering iOS 14 Programming Build professional-grade iOS 14 applications with Swift 5.3 and Xcode 12.4

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838822842
Length 558 pages
Edition 4th Edition
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Authors (3):
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Mario Eguiluz Alebicto Mario Eguiluz Alebicto
Author Profile Icon Mario Eguiluz Alebicto
Mario Eguiluz Alebicto
Chris Barker Chris Barker
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Chris Barker
Donny Wals Donny Wals
Author Profile Icon Donny Wals
Donny Wals
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Table of Contents (22) Chapters Close

Preface 1. Chapter 1: What's New in iOS 14? 2. Chapter 2: Working with Dark Mode FREE CHAPTER 3. Chapter 3: Using Lists and Tables 4. Chapter 4: Creating a Detail Page 5. Chapter 5: Immersing Your Users with Animation 6. Chapter 6: Understanding the Swift Type System 7. Chapter 7: Flexible Code with Protocols, Generics, and Extensions 8. Chapter 8: Adding Core Data to Your App 9. Chapter 9: Fetching and Displaying Data from the Network 10. Chapter 10: Making Smarter Apps with Core ML 11. Chapter 11: Adding Media to Your App 12. Chapter 12: Improving Apps with Location Services 13. Chapter 13: Working with the Combine Framework 14. Chapter 14: Creating an App Clip for Your App 15. Chapter 15: Recognition with Vision Framework 16. Chapter 16: Creating Your First Widget 17. Chapter 17: Using Augmented Reality 18. Chapter 18: Creating a macOS app with Catalyst 19. Chapter 19: Ensuring App Quality with Tests 20. Chapter 20: Submitting Your App to the App Store 21. Other Books You May Enjoy

Chapter 10: Making Smarter Apps with Core ML

Over the past few years, machine learning has gained in popularity. However, it has never been easy to implement in mobile applications—that is, until Apple released the Core ML framework as part of iOS 11. Core ML is Apple's solution to all of the problems that developers at the company have run into themselves while implementing machine learning for iOS. As a result, Core ML should have the fastest, most efficient implementations for working with sophisticated machine learning models, through an interface that is as simple and flexible as possible.

In this chapter, you will learn what machine learning is, how it works, and how you can use trained machine learning models in your apps. You will also learn how you can use Apple's Vision framework to analyze images, and you'll see how it integrates with Core ML for powerful image detection. Lastly, you'll learn how to use the new Create ML tool to train your models...

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