Book Image

Machine Learning with Core ML

Book Image

Machine Learning with Core ML

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 (16 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Bringing it all together


If you haven't done already, pull down the latest code from the accompanying repository: https://github.com/packtpublishing/machine-learning-with-core-ml. Once downloaded, navigate to the directory Chapter8/Start/QuickDrawRNN and open the project QuickDrawRNN.xcodeproj. Once loaded, you will see a project that should look familiar to you as it is almost a replica of the project we built in the previous chapter. For this reason, I won't be going over the details here, but feel free to refresh your memory by skimming through the previous chapter.

Rather I want to spend some time highlighting what I consider one of the most important aspects of designing and building the interface between people and machine learning systems. Let's start with this and then move on to migrating our code across from our playground project. 

I consider Quick, Draw! a great example that highlights a major responsibility of the designer of any interface of a machine learning system. What makes...