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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

Summary

In this chapter, we introduced ML and its value by contrasting it against classical programming. We then spent some time exploring different applications of ML, and for each we speculated about the type of data, algorithms, and learning style used. This approach was taken to help demystify how ML works and to encourage you to start thinking about how you can leverage data to improve user experience and/or offer new functionality. We'll continue this approach throughout this book with (obviously) more emphasis on making use of ML by way of example applications related to computer vision.

In the next chapter, we will introduce Core ML, iOS's specifically designed framework for making ML accessible to developers with little or no experience with ML.

You have been reading a chapter from
Machine Learning with Core ML
Published in: Jun 2018
Publisher: Packt
ISBN-13: 9781788838290
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