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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
Languages
Tools
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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

Converting a Keras model to Core ML

Similar to what we did in the previous chapter, in this section we will be converting a trained Keras model into a Core ML model using the Core ML Tools package. To avoid any complications of setting up the environment on your local or remote machine, we will leverage the free Jupyter cloud service provided by Microsoft. Head over to https://notebooks.azure.com and log in (or register if you haven't already).

Once logged in, click on the Libraries menu link from the navigation bar, which will take you to a page containing a list of all of your libraries, similar to what is shown in the following screenshot: 

Next, click on the + New Library link to bring up the Create New Library dialog:

Then, click on the From GitHub tab and enter https://github.com/packtpublishing/machine-learning-with-core-ml in the GitHub...

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