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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

Facial expressions

Our face is one of the strongest indicators of emotions; as we laugh or cry, we put our emotions on display, allowing others to glimpse into our minds. It's a form of nonverbal communication that, apparently, accounts for over 50% of our communication with others. Forty independently controlled muscles make the face one of the most complex systems we possess, which could be the reason we use it as a medium for communicating something so important as our current emotional state. But can we classify it?

In 2013, the International Conference on Machine Learning (ICML) ran a competition inviting contestants to build a facial expression classifier using a training dataset of over 28,000 grayscale images. They were labeled as either anger, disgust, fear, happiness, sadness, surprise, or neutral. The following are a few samples of this training data...

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