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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

Assisted Drawing with CNNs

So far, we have seen how we can leverage Core ML and, in general, machine learning (ML) to better understand the physical world we live in (perceptual tasks). From the perspective of designing user interfaces, this allows us to reduce the friction between the user and the system. For example, if you are able to identify the user from a picture of their face, you can remove the steps required for authentication, as demonstrated with Apple's Face ID feature which is available on iPhone X. With Core ML, we have the potential to have devices better serve us rather than us serving them. This adheres to a rule stated by developer Eric Raymond that a computer should never ask the user for any information that it can auto detect, copy, or deduce.

We can take this idea even further; given sufficient amounts of data, we can anticipate what the user is...

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