Book Image

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

By : Anubhav Singh, Rimjhim Bhadani
Book Image

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

By: Anubhav Singh, Rimjhim Bhadani

Overview of this book

Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android.
Table of Contents (13 chapters)

Adding Firebase authentication

As discussed earlier, in the Simple login application section, we will be using the user's email and password for authentication integrated through Firebase.

To create and configure a Firebase project on Firebase Console, refer to the Appendix.

The following steps discuss in detail about how to set up the project on Firebase Console:

  1. We begin by selecting the project on Firebase Console:

  1. Next, we will click on the Authentication option from the Develop menu:

This will take us to the authentication screen.

  1. Migrate to the sign-in tab and enable the Email/Password option under Sign-in providers:

This is all that is required to set up Firebase Console.

Next, we will integrate Firebase in the code. This is done as follows:

  1. Migrate to the project in your Flutter SDK and add firebase-auth to the app level build.gradle file: