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)

Creating Actions on a Google project

In this section, we will create an Actions on Google Project and then integrate it with the Google Assistant app. This will allow the chatbot we've built to be accessible through the Google Assistant app, which is available on billions of devices globally.

Let's begin by creating the Actions on Google project:

  1. In your browser, open to open up the Actions on xGoogle home page, where you can read all about the platform and also be introduced to its documentation.
  2. To proceed to the console, click on the Start Building or Go to Actions Console button. You'll be taken to the Actions on Google console, where you'll be prompted to create a project.
  3. On proceeding with project creation, you'll be able to see a dialogue box, as shown in the following screenshot: