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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
Languages
Tools
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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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Toc

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

Closing thoughts


This tool essentially democratizes machine learning by way of allowing anyone (who is able) to create custom models, but there is always a trade-off between simplicity and expressiveness. So, here is a short list of tools you may want to explore:

  • Turi create: comes from a firm acquired by Apple in 2016; it provides tight integration with Core ML, allowing for easy deployment and custom models. It also provides a more comprehensive suite of machine learning models such as Style Transfer and segmentation. You can learn more about Turi create here: https://github.com/apple/turicreate.
  • IBM Watson Services for Core ML: IBM Watson is IBM's AI platform, exposing an array of common machine learning models as a service. They have recently made available some of these services via Core ML models, allowing your application to leverage IBM Watson's services even when offline. 
  • ML Kit: Google announced an ML Kit in early 2018 as a platform for common machine learning tasks such as image...
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