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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

Locating Objects in the World

So far, we have limited ourselves to recognizing the single most dominant object within an image using a convolutional neural network (CNN). We have seen how a model can be trained to take in a image and extract a series of feature maps that are then fed into a fully connected layer to output a probability distribution of a set of classes. This is then interpreted to classify the object within the image, as shown here:

In this chapter, we will build on this and explore how we can detect and locate multiple objects within a single image. We will start by building up our understanding of how this works and then walk through implementing a image search for a photo gallery application. This application allows the user to filter and sort images not only based on what objects are present in the image, but also on their position relative...

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