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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

Bringing it all together


If you haven't done already, pull down the latest code from the accompanying repository: https://github.com/packtpublishing/machine-learning-with-core-ml. Once downloaded, navigate to the directory Chapter8/Start/QuickDrawRNN and open the project QuickDrawRNN.xcodeproj. Once loaded, you will see a project that should look familiar to you as it is almost a replica of the project we built in the previous chapter. For this reason, I won't be going over the details here, but feel free to refresh your memory by skimming through the previous chapter.

Rather I want to spend some time highlighting what I consider one of the most important aspects of designing and building the interface between people and machine learning systems. Let's start with this and then move on to migrating our code across from our playground project. 

I consider Quick, Draw! a great example that highlights a major responsibility of the designer of any interface of a machine learning system. What makes...

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