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)

Deploying a webhook to Cloud Functions for Firebase

Now that we're done creating the logic of the webhook, it is pretty simple to deploy it using Cloud Functions on Firebase. Follow these steps to do so:

  1. Click on the Fulfillment button on the left navigation of the Dialogflow Console. Enable the Inline Editor to be able to add your webhook and deploy it directly to Cloud Functions.

You will have to clear out the default boilerplate code that is in the Inline Editor to do this.

  1. Paste the code in the editor from the previous section into the index.js tabbed navigation pill and click on Deploy.
Remember that the environment that's being used for deployment is Node.js, so index.js is the file that shall contain all your business logic. The package.json file manages the required packages for your project. 

Using Cloud Functions comes with the advantage of the...