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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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Toc

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

Drawing

In this section, we will start off by inspecting an existing starter application and implement the drawing functionality. Then, in the next section, we will look at how we can augment the user by predicting what they are trying to draw and providing substitutes they can swap with.  

If you haven't done so, pull down the latest code from the accompanying repository at https://github.com/packtpublishing/machine-learning-with-core-ml. Once downloaded, navigate to the Chapter7/Start/QuickDraw/ directory and open the project QuickDraw.xcodeproj. Once loaded, you will see the starter project for this chapter, as shown in the following screenshot:

In the previous screenshot, you can see the application in its entirety; the interface consists of a single view, which contains a simple toolbar down on the left, allowing the user to toggle between...

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