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 a Dialogflow agent

As we discussed in the How does Dialogflow work? section, the agent is the chatbot we are creating in the Dialogflow platform. 

Once your account has been successfully created, you'll be presented with the landing screen of the Dialogflow Console, prompting you to Create an agent:

  1. Click on the Create an agent prompt. You'll be taken to a screen that looks similar to the following:

  1. Fill in the name for the agent. We shall name it DemoBot.
  2. Link any existing Google Project to the chatbot. If you do not already have an eligible Google Project, a new project will be created when you click on the Create button. 
You need to have a billing enabled on Google Project to create Dialogflow chatbots. To find out how to create a Google Project, go to