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Modernizing Your Windows Applications with the Windows App SDK and WinUI

You're reading from   Modernizing Your Windows Applications with the Windows App SDK and WinUI Expand your desktop apps to support new features and deliver an integrated Windows 11 experience

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803235660
Length 514 pages
Edition 1st Edition
Languages
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Authors (2):
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Marc Plogas Marc Plogas
Author Profile Icon Marc Plogas
Marc Plogas
Matteo Pagani Matteo Pagani
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Matteo Pagani
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Basic Concepts
2. Chapter 1: Getting Started with the Windows App SDK and WinUI FREE CHAPTER 3. Section 2: Modernization Journey
4. Chapter 2: The Windows App SDK for a Windows Forms Developer 5. Chapter 3: The Windows App SDK for a WPF Developer 6. Chapter 4: The Windows App SDK for a UWP Developer 7. Chapter 5: Designing Your Application 8. Chapter 6: Building a Future-Proof Architecture 9. Section 3: Integrating Your App with the Windows Ecosystem
10. Chapter 7: Migrating Your Windows Applications to the Windows App SDK and WinUI 11. Chapter 8: Integrating Your Application with the Windows Ecosystem 12. Chapter 9: Implementing Notifications 13. Chapter 10: Infusing Your Apps with Machine Learning Using WinML 14. Section 4: Distributing Your Application
15. Chapter 11: Publishing Your Application 16. Chapter 12: Enabling CI/CD for Your Windows Applications 17. Assessments 18. Other Books You May Enjoy

Chapter 10

  1. ONNX is an open source standard to store an ML model in a file, which can be exchanged and consumed by different types of applications. Being portable, it's a good fit for Edge scenarios, where the model must be evaluated locally.
  2. False. Thanks to WinML, an ML model can be evaluated on the local machine, without needing any internet connection and any communication with a cloud service.
  3. Custom Vision is a service provided by Azure that removes the complexity of learning ML algorithms to train a model to recognize objects, sentiments, and so on. You just need to provide a series of images as input, classify them, and train the model. Custom Vision is a great companion for WinML since you can export the trained model to ONNX.
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