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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

Assisted drawing 

In this section, we will briefly describe this chapter's project and what we aim to achieve. Recall from the previous chapter that we described an application capable of predicting what the user was trying to sketch, and fetched similar images based on the predicted categories, such as a sailboat. Based on this prediction, the application would search and download images of that category. After downloading, it would sort them based on their similarity with regards to the user's sketch. Then it would present the ordered alternatives to the user, which they could swap their sketch with.

The finished project is shown as follows: 

The model used for performing this classification was based on a Convolutional Neural Network (CNN), a type of neural network well suited for understanding images owing to its ability to find local patterns and build...

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