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Flutter Cookbook

You're reading from   Flutter Cookbook Over 100 proven techniques and solutions for app development with Flutter 2.2 and Dart

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781838823382
Length 646 pages
Edition 1st Edition
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Authors (2):
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Simone Alessandria Simone Alessandria
Author Profile Icon Simone Alessandria
Simone Alessandria
Brian Kayfitz Brian Kayfitz
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Brian Kayfitz
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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Flutter 2. Dart: A Language You Already Know FREE CHAPTER 3. Introduction to Widgets 4. Mastering Layout and Taming the Widget Tree 5. Adding Interactivity and Navigation to Your App 6. Basic State Management 7. The Future is Now: Introduction to Asynchronous Programming 8. Data Persistence and Communicating with the Internet 9. Advanced State Management with Streams 10. Using Flutter Packages 11. Adding Animations to Your App 12. Using Firebase 13. Machine Learning with Firebase ML Kit 14. Distributing Your Mobile App 15. Flutter Web and Desktop 16. About Packt
Machine Learning with Firebase ML Kit

Machine Learning (ML) has become a critical topic in any application's development. In a nutshell, ML means that you import data that "trains" an algorithm, and use it to generate a model. This trained model can then be used to solve problems that would be virtually impossible with traditional programming. To make this process more manageable, Firebase offers a service called ML Kit, an ML kit that we could define as "pre-built ML." Among other functionalities, it contains text recognition, image labeling, face detection, and bar-code scanning. For functionalities that are not already provided by ML Kit, you can create your own custom model with TensorFlow Lite. Most of the services outlined in this chapter can run both on the cloud or on your device. 

In this chapter, you will start by taking a picture with...

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