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You're reading from Machine Learning for Mobile Practical guide to building intelligent mobile applications powered by machine learning

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781788629355

Length 274 pages

Edition 1st Edition

Tools

Android

Concepts

Machine Learning

Authors (2):

Avinash Venkateswarlu

Revathi Gopalakrishnan

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Table of Contents (14) Chapters

Preface

1. Introduction to Machine Learning on Mobile FREE CHAPTER

2. Supervised and Unsupervised Learning Algorithms

3. Random Forest on iOS

4. TensorFlow Mobile in Android

5. Regression Using Core ML in iOS

6. The ML Kit SDK

7. Spam Message Detection

8. Fritz

9. Neural Networks on Mobile

10. Mobile Application Using Google Vision

11. The Future of ML on Mobile Applications

12. Question and Answers

13. Other Books You May Enjoy

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Summary

In this chapter, we got introduced to Google's machine learning tools for Mobile and looked at the various flavors of the toolkit – TensorFlow for Mobile and TensorFlow Lite. We also explored the architecture of a TensorFlow-ML-enabled mobile application. Then we discussed the architecture and details of TensorFlow Lite and its components, and even demonstrated a simple use case for an android mobile application using TensorFlow for mobile.

In the next chapter, we will be using the TensorFlow for mobile that we discussed here to implement a classification algorithm.

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Authors (2)

Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.

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Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.

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