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Introduction to Apple Core ML

In this chapter, we are going to briefly introduce the framework that we will be using throughout this book - Core ML. But before doing so, we will elaborate on what training and inference are, specifically how they differ; and then we'll look at the motivation for performing machine learning (ML) on the edge, that is, your iOS device.

We will be covering the following topics in the chapter:

Highlighting the difference between training a model and using the model for inference
Motivation and opportunities for performing inference on the edge
Introducing Core ML and the general workflow
A brief introduction to some ML algorithms
Some considerations to keep in mind when developing ML-enabled applications

Key benefits

Explore the concepts of machine learning and Apple’s Core ML APIs

Use Core ML to understand and transform images and videos

Exploit the power of using CNN and RNN in iOS applications

Description

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

Who is this book for?

Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.

What you will learn

Understand components of an ML project using algorithms, problems, and data

Master Core ML by obtaining and importing machine learning model, and generate classes

Prepare data for machine learning model and interpret results for optimized solutions

Create and optimize custom layers for unsupported layers

Apply CoreML to image and video data using CNN

Learn the qualities of RNN to recognize sketches, and augment drawing

Use Core ML transfer learning to execute style transfer on images

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Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Yiannis Aug 21, 2018

With Core ML, iOS (as of iOS 11) now allows iPhone developers to easily integrate trained machine learning models into their apps with a few line of code. As Machine Learning is the talk of the town nowadays, it's a well sought-after skill for any iOS developer to know how they can introduce some AI/ML magic into their apps. And this is exactly what this book achieves and it does so in a way that:1. Doesn't require much knowledge of machine learning. As a matter of fact, it delivers a short and sweet introduction of key ML concepts that is all you need to know to understand how to utilise trained models.2. Explains with clear examples what the possibilities are. Examples are easy to follow and run on your device. As seeing is believing, these examples can offer food for thought for you or your clients (if you are in the business for developing apps for other).By far the best book about Core ML in the market!

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Machine Learning with Core ML: An iOS developer's guide to implementing machine learning in mobile apps

What do you get with Print?

Machine Learning with Core ML

Introduction to Apple Core ML

Difference between training and inference

Inference on the edge

A brief introduction to Core ML

Learning algorithms

Considerations

Summary

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