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 


You are still here. I'm impressed, and congratulations! It was a long but fruitful chapter. We saw another example of how we can apply CNNs, and in doing so, we further developed our understanding of how they work, how to tune them, and ways in which we can modify them. We saw how we could use the learned features not just for classification but ranking, a technique used in many domains such as fashion discovery and recommendation engines. We also spent a significant amount of time building a drawing application, which we will continue to use in the next chapter. There, we will again explore how to perform sketch classification using a RNN trained on Google's QuickDraw dataset. Lots of fun ahead, so let's get started.