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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 introduced object recognition, the 101 project for ML with Core ML. We spent some time introducing CNNs or ConvNets, a category of neural networks well suited for extracting patterns from images. We discussed how they build increasing levels of abstraction with each convolutional layer. We then proceeded to make use of our newfound knowledge by implementing the functionality that allowed our application to recognize the physical world through its camera. We saw firsthand that the majority of the work wasn't performing inference but rather implementing the functionality to facilitate and make use of it. This is the take-away; intelligence by itself is not useful. What we are interested in exploring in this book is the application of trained models to deliver intuitive and intelligent experiences. For instance, this example can...

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