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)

Building an Image Super-Resolution Application

Remember the last time you went on a trip with your loved ones and took some nice photos to keep as memories, but when you went back home and swiped through them, you found they were very blurry and low quality? Now, all you have remaining of those beautiful moments are your own mental memories and those blurry photos. Wouldn't it be great if your photos could be made crystal clear and you could see every detail in them?

Super-resolution is the process of converting low-resolution images into high-resolution images based on the approximation of pixel information. While it may not be entirely magical today, it will certainly be a life-saver in the future when the technology has progressed enough to become a common AI application.

In this project, we will build an app that uses a deep learning model hosted on DigitalOcean Droplet...