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

Summary 


In this chapter, we applied a CNN for the task of recognizing facial expressions. Using this, we could infer the emotional state of a given face. As usual, we again spent the majority of our time understanding the required input for the model and implementing the functionality to facilitate this. But, in doing so, we uncovered some important considerations when developing intelligent applications; the first is the explicit awareness of using either an end-to-end solution or a multi-step approach, with the multi-step approach being the most common one you will use.

This essentially means you, the designer and builder of intelligent applications, will be building data pipelines consisting of many models, each transforming the data in preparation for the next. This is similar to how deep networks work but provides greater flexibility. The second consideration is highlighting the availability of complementary frameworks available on iOS, in particular the Vision framework. It was used...