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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 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 11. Other Books You May Enjoy

Assisted Drawing with RNNs

In the previous chapter, we walked through building a simple drawing application that would try to infer what the user was drawing and present them with alternatives based on the most likely predicted categories; the intention of this application was to improve the efficiency of sketching tasks by giving the user completed sketches, obtained through Microsoft's Bing image search, rather than having to spend time fussing over the details.

In this chapter, we'll revisit this application but look at an alternative for inferring what the user is drawing, and, in doing so, we will be exposing ourselves to new types of data and machine learning models. Following the familiar format, we will first revise the task, explore the data and model, and then walk through building up the required functionality in a playground, before migrating it across to...

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