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

Chapter 8. Assisted Drawing with RNNs

In the previous chapter, we walked through building a simple drawing application that would try to infer what the user was drawing and present them with alternatives based on the most likely predicted categories; the intention of this application was to improve the efficiency of sketching tasks by giving the user completed sketches, obtained through Microsoft's Bing image search, rather than having to spend time fussing over the details.

In this chapter, we'll revisit this application but look at an alternative for inferring what the user is drawing, and, in doing so, we will be exposing ourselves to new types of data and machine learning models. Following the familiar format, we will first revise the task, explore the data and model, and then walk through building up the required functionality in a playground, before migrating it across to our application. Let's get started.