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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
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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

Using TensorFlow Lite

While using pre-made models to recognize text, objects, and expressions is a powerful and useful feature to add to your apps, there are cases where you need to create your own models or use third-party models that can add virtually limitless features to your projects.

TensorFlow is an open source platform to create and use ML models, and TensorFlow Lite is a lightweight platform specifically designed to be used on mobile and IoT devices.


TensorFlow Hub contains hundreds of models already trained and ready to be used in your own apps. See the https://tfhub.dev/ page for more information.

While creating models and TensorFlow itself are beyond the scope of this book, in this recipe, you will use an open source TensorFlow model, built by the creators of the tflite_flutter package.

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