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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

Towards intelligent interfaces 


Before jumping into how, let's quickly discuss the why in order to motivate us as well as encourage creative exploration of this concept. As alluded to in the introduction, the first motivator is to reduce friction. Consider the soft keyboard (keyboard with no physical buttons) on your phone; due to the constraints of the medium, such as lack of space and feedback, inputting text without predictive text would be cumbersome to the point of rendering it unusable. Similarly, despite the convenience of drawing with our fingers, our fingers are not that accurate, which makes things difficult to draw.

The other reason why this concept (augmentation) is advantageous is its ability to democratize the technical skill of drawing. It's common for people to not even attempt to draw because they have convinced themselves that it is beyond their abilities, or possibly that we can enhance one's ability to draw. This was the motivation behind the research project ShadowDraw...

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