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Machine Learning with Core ML

You're reading from   Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788838290
Length 378 pages
Edition 1st Edition
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Author (1):
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Joshua Newnham Joshua Newnham
Author Profile Icon Joshua Newnham
Joshua Newnham
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Table of Contents (12) Chapters Close

Preface 1. Introduction to Machine Learning FREE CHAPTER 2. Introduction to Apple Core ML 3. Recognizing Objects in the World 4. Emotion Detection with CNNs 5. Locating Objects in the World 6. Creating Art with Style Transfer 7. Assisted Drawing with CNNs 8. Assisted Drawing with RNNs 9. Object Segmentation Using CNNs 10. An Introduction to Create ML 11. Other Books You May Enjoy

Building the photo effects application


In this section, we will be looking briefly at the application and highlighting some of the interesting pieces of the code, omitting most of it as it has already been discussed in previous chapters. As mentioned in the introduction, this example is to provide a case study for a later section, where we will discuss some broad strategies to use when building intelligent interfaces and services. 

If you haven't already, pull down the latest code from the accompanying repository at https://github.com/packtpublishing/machine-learning-with-core-ml. Once downloaded, navigate to the Chapter9/Start/ directory and open the project ActionShot.xcodeproj.

As mentioned in the previous section, the example for this chapter is an photo effects application. In it, the user is able to take an action shot, have the application extract each person from the frames, and compose them onto the final frame, as illustrated in the following figure:

The application consists of two...

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