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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

Who this book is for

This book will appeal to three broad groups of people. The first are intermediate iOS developers who are interested in learning and applying machine learning (ML); some exposure to ML concepts may be beneficial but are not essential as this book covers the intuition behind the concepts and models used throughout it.

The second group are those who have experience in ML but not in iOS development and are looking for a resource to help them to get the grips with Core ML; for this group, it is recommended to complement this book with a book that covers the fundamentals of iOS development. 

The last group are experienced iOS developers and ML practitioners who are curious to see how various models have been applied in the context of the iOS platform. 

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