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  • Book Overview & Buying Machine Learning with Core ML
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Machine Learning with Core ML

Machine Learning with Core ML

By : Joshua Newnham
5 (1)
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Machine Learning with Core ML

Machine Learning with Core ML

5 (1)
By: Joshua Newnham

Overview of this book

Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs
Table of Contents (12 chapters)
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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 repository field. After that, give your library a meaningful name and click on the Import button to begin the process of cloning the repository and...

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Machine Learning with Core ML
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