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Machine Learning Projects for Mobile Applications

You're reading from Machine Learning Projects for Mobile Applications Build Android and iOS applications using TensorFlow Lite and Core ML

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788994590

Length 246 pages

Edition 1st Edition

Languages

Python

Tools

Android

Concepts

Machine Learning

Author (1):

Karthikeyan NG

View More author details

Table of Contents (11) Chapters

Preface

1. Mobile Landscapes in Machine Learning FREE CHAPTER

2. CNN Based Age and Gender Identification Using Core ML

3. Applying Neural Style Transfer on Photos

4. Deep Diving into the ML Kit with Firebase

5. A Snapchat-Like AR Filter on Android

6. Handwritten Digit Classifier Using Adversarial Learning

7. Face-Swapping with Your Friends Using OpenCV

8. Classifying Food Using Transfer Learning

9. What's Next?

10. Other Books You May Enjoy

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Summary

In this chapter, we have learned how to build a complete face-swapping application. This is one of the basic components of computer vision research. A lot of useful applications can be built on top of this.

In the next chapter, we will build our own food classifier using TensorFlow as well as building that into an iOS application using Core ML.

The rest of the chapter is locked

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Authors (1)

NG

NG

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 2 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.

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