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Mastering iOS 12 Programming

You're reading from   Mastering iOS 12 Programming Build professional-grade iOS applications with Swift and Xcode 10

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789133202
Length 750 pages
Edition 3rd Edition
Languages
Tools
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Author (1):
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Donny Wals Donny Wals
Author Profile Icon Donny Wals
Donny Wals
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Table of Contents (29) Chapters Close

Preface 1. UITableView Touch-up 2. A Better Layout with UICollectionView FREE CHAPTER 3. Creating a Detail Page 4. Immersing Your Users with Animation 5. Understanding the Swift Type System 6. Writing Flexible Code with Protocols and Generics 7. Improving the Application Structure 8. Adding Core Data to Your App 9. Fetching and Displaying Data from the Network 10. Being Proactive with Background Fetch 11. Syncing Data with CloudKit 12. Using Augmented Reality 13. Improving Apps With Location Services 14. Making Smarter Apps with CoreML 15. Tracking Activity Using HealthKit 16. Streamlining Experiences with Siri 17. Using Media in Your App 18. Implementing Rich Notifications 19. Instant Information with a Today Extension 20. Exchanging Data With Drag And Drop 21. Improved Discoverability with Spotlight and Universal Links 22. Extending iMessage 23. Ensuring App Quality with Tests 24. Discovering Bottlenecks with Instruments 25. Offloading Tasks with Operations and GCD 26. Submitting Your App to the App Store 27. Answers 28. Other Books You May Enjoy

Making Smarter Apps with CoreML

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 CoreML framework as part of iOS 11. CoreML is Apple's solution to all of the problems they have run into themselves while implementing machine learning for iOS. As a result, CoreML should have the fastest, most efficient implementations for working with complex 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 CoreML for powerful image detection. Lastly, you'll...

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