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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

Recognizing Objects in the World

In this chapter, we will immerse ourselves in the world of machine learning (ML) and Core ML by working through what could be considered the 101 Core ML application. We will be using an image classification model to allow the user to point their iPhone at anything and have the app classify the most dominant object in the view. 

We will start off by first discussing the concept of convolutional neural networks (ConvNets or CNNs), a category of neural networks well suited to image classification, before jumping into implementation. Starting from a skeleton project, you will soon discover just how easy it is to integrate ML into your apps with the help of Core ML.

In this chapter, we will cover the following topics:

  • Gaining some intuition on how machines understand images
  • Building out the example application for this chapter
  • Capturing...
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