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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

Summary 

In this chapter, we applied a CNN for the task of recognizing facial expressions. Using this, we could infer the emotional state of a given face. As usual, we again spent the majority of our time understanding the required input for the model and implementing the functionality to facilitate this. But, in doing so, we uncovered some important considerations when developing intelligent applications; the first is the explicit awareness of using either an end-to-end solution or a multi-step approach, with the multi-step approach being the most common one you will use.

This essentially means you, the designer and builder of intelligent applications, will be building data pipelines consisting of many models, each transforming the data in preparation for the next. This is similar to how deep networks work but provides greater flexibility. The second consideration is...

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