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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

Summary

In this chapter, we discussed the difference between training and inference, along with the typical ML workflow and where Core ML fits in. We also saw how Core ML is not just a single framework, but rather a suite of tools that facilitate getting pretrained models into the iOS platform and making them available to your application via a familiar and simple interface. Thus, it democratizes ML and puts it into the hands of many iOS app developers.

It has been suggested that the explosion in diverse apps contributed to the success of the adoption of smartphones; if this is true, then prepare yourself for the next explosion of AI-enhanced apps. And take comfort knowing that you are in the perfect place to begin and lead this journey, where we will explore many concepts and examples related to computer vision using Core ML, including these:

  • Recognizing objects...
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