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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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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

Object Segmentation Using CNNs

Throughout the chapters in this book, we have seen various machine learning models, each progressively increasing their perceptual abilities. By this, I mean that we were first introduced to a model capable of classifying a single object present in an image. Then came a model that was able to classify not only multiple objects but also their corresponding bounding boxes. In this chapter, we continue this progression by introducing semantic segmentation, in other words, being able to assign each pixel to a specific class, as shown in the following figure: 

Source: http://cocodataset.org/#explore

This allows for a greater understanding of the scene and, therefore, opportunities for more intelligible interfaces and services. But this is not the main focus of this chapter. In this chapter, we will use semantic segmentation to create...

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