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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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Table of Contents (16) Chapters Close

Title Page
Packt Upsell
Contributors
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 1. Other Books You May Enjoy Index

Chapter 10. An Introduction to Create ML

The intention of this book has been to explore ways to apply machine learning on the iPhone, specifically focusing on computer vision tasks. Even with this narrow focus, we have only scratched the surface of what is currently possible. But, hopefully, we've covered enough to spark your curiosity and provided enough intuition behind the details of machine learning models to help you on your journey to build intelligent apps. 

This chapter is intended as a primer into continuing that journey by introducing Create ML, a tool released with Core ML 2 that provides an easy way to create some common models using custom data. Even though we only provide a high-level introduction, specifically around computer vision, it still should be enough to help you make use of it in your own applications. 

By the end of this chapter, you will have:

  • Revised the machine learning workflow 
  • Appreciated the importance of splitting your data into sets for training and validation...
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