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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

Creating Art with Style Transfer

In this chapter, we will explore what was one of the most popular mainstream applications of deep learning in 2017—style transfer. We begin by introducing the concepts of style transfer and then its faster alternative, appropriately named fast neural style transfer. Similar to other chapters, we will provide the intuition behind the models (rather than granular details) and, in doing so, you will gain a deeper understanding and appreciation for the potential of deep learning algorithms. Unlike previous chapters, this chapter will focus more on the steps involved in getting the model working on iOS rather than building up the application, in order to keep it concise. 

By the end of this chapter you will have achieved the following:

  • Gained an intuitive understanding of how style transfer works
  • Gained hands-on experience of working with...
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