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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

Transferring style from one image to another 

Imagine being able to have one of the greatest painters in history, such as Vincent van Gogh or Pablo Picasso, recreate a photo of your liking using their own unique style. In a nutshell, this is what style transfer allows us to do. Quite simply, it's the process of generating a photo using the style of one with the content of another, as shown here:

In this section, we will describe, albeit at a high level, how this works and then move on to an alternative that allows us to perform a similar process in significantly less time.

I encourage you to read the original paper, A Neural Algorithm of Artistic Style, by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge, for a more comprehensive overview. This paper is available at https://arxiv.org/abs/1508.06576.

At this stage, we have learned that...

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