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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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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

Training and using your own machine learning model

In this section, we're going to reuse the WinML APIs we have learned about so far, but on a different ONNX model. Instead of downloading it from the internet, we're going to create one. Thanks to the power of the cloud, there are many services that we can use to train our models without having to be data scientists. One of these services, provided by Microsoft, is called Custom Vision. It's based on Azure, and it requires you to have an Azure subscription. However, the service comes with a free tier, which is a great fit for testing scenarios.

Thanks to Custom Vision, we can train our own model without having to master all the inner details of machine learning algorithms. We will provide a series of pictures and tag them. Then, Custom Vision will train the model based on the information we have provided, enabling it to recognize the objects we have also tagged in every photo, even the ones that aren't part of...

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