Karthikeyan NG - Machine Learning Projects for Mobile Applications

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Sunith Shetty
Acquisition Editor: Dayne Castelino
Content Development Editor: Rhea Henriques
Technical Editor: Sayli Nikalje
Copy Editor: Safis Editing
Project Coordinator: Manthan Patel
Proofreader: Safis Editing
Indexer: Mariammal Chettiyar
Graphics: Jisha Chirayil
Production Coordinator: Aparna Bhagat

First published: October 2018

Production reference: 1311018

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78899-459-0

www.packtpub.com

To my wife, Nanthana, for putting up with me during the course of this book. I know it must not have been easy.

To my parents, for their constant support.

Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

• Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

• Improve your learning with Skill Plans built especially for you

• Get a free eBook or video every month

• Mapt is fully searchable

• Copy and paste, print, and bookmark content

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.packt.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at customercare@packtpub.com for more details.

At www.packt.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with two US-based startups as an early employee and has built various products. He has 9+ years of experience in various scalable products using Web, Mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in exploring new technologies and innovative ideas to resolve a problem. He has also bagged prizes from more than 15 hackathons, is a TEDx speaker and a speaker at technology conferences and meetups as well as guest lecturer at a Bengaluru University. When not at work, he is found trekking.

Mayur Ravindra Narkhede has a good blend of experience in data science and industrial domain. He is a researcher with a B.Tech in computer science and an M.Tech in CSE with a specialization in Artificial Intelligence.

A data scientist whose core experience lies in building automated end-to-end solutions, he
is proficient at applying technology, AI, ML, data mining, and design thinking to better
understand and predict improvements in business functions and desirable requirements
with growth profitability.

He has worked on multiple advanced solutions, such as ML and predictive model
development for the oil and gas industry, financial services, road traffic and transport, life
sciences, and the big data platform for asset-intensive industries.

If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

Machine learning is a growing technique that focuses on the development of computer programs that can be changed or modified when exposed to new data. It has made significant advances that have enabled practical applications of machine learning (ML) and, by extension, the overall field of Artificial Intelligence (AI).

This book presents the implementation of seven practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning. We will be learning about the recent advancements in TensorFlow and its extensions, such as TensorFlow Lite, to design intelligent apps that learn from complex/large datasets. We will delve into advancements such as deep learning by building apps using deep neural network architecture such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), transfer learning, and much more.

By the end of this book, you will not only have mastered all the concepts of and learned how to implement machine learning and deep learning, but you will also have learned how to solve the problems and challenges faced while building powerful apps on mobile using TensorFlow Lite and Core ML.