Book Image

Flutter Cookbook

By : Simone Alessandria, Brian Kayfitz
4 (1)
Book Image

Flutter Cookbook

4 (1)
By: Simone Alessandria, Brian Kayfitz

Overview of this book

“Anyone interested in developing Flutter applications for Android or iOS should have a copy of this book on their desk.” – Amazon 5* Review Lauded as the ‘Flutter bible’ for new and experienced mobile app developers, this recipe-based guide will teach you the best practices for robust app development, as well as how to solve cross-platform development issues. From setting up and customizing your development environment to error handling and debugging, The Flutter Cookbook covers the how-tos as well as the principles behind them. As you progress, the recipes in this book will get you up to speed with the main tasks involved in app development, such as user interface and user experience (UI/UX) design, API design, and creating animations. Later chapters will focus on routing, retrieving data from web services, and persisting data locally. A dedicated section also covers Firebase and its machine learning capabilities. The last chapter is specifically designed to help you create apps for the web and desktop (Windows, Mac, and Linux). Throughout the book, you’ll also find recipes that cover the most important features needed to build a cross-platform application, along with insights into running a single codebase on different platforms. By the end of this Flutter book, you’ll be writing and delivering fully functional apps with confidence.
Table of Contents (17 chapters)
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.