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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 2. Introduction to Apple Core ML FREE CHAPTER 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

Making it easier to find photos

In this section, we will put our model to work in an intelligent search application; we'll start off by quickly introducing the application, giving us a clear vision of what we intend to build. Then, we'll work through implementing the functionality related to interpreting the model's output and search heuristic for the desired functionality. We will be omitting a lot of the usual iOS functionality so that we can stay focused on the intelligent aspect of the application.

Over the past few years, we have seen a surge of intelligence being embedded in photo gallery applications, providing us with efficient ways of surfacing those cat photos hidden deep in hundreds (if not thousands) of photos we have accumulated over the years. In this section, we want to continue with this theme but push that level of intelligence a little bit further...

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