E-book details

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

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

Joshua Newnham

Ebook
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
  • 1. Introduction to Machine Learning
  • 2. Introduction to Apple Core ML
  • 3. Recognising objects in the world
  • 4. Locating Objects in the World
  • 5. Facial Emotion Detection with Convolutional Neural Networks
  • 6. Transfer Learning - Creating art with style transfer
  • 7. Assisted drawing with Convolutional Neural Networks
  • 8. Assisted drawing with Recurrent Neural Networks
  • 9. Object segmentation using neural networks
  • 10. An introduction to Create ML
  • Title: Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
  • Author: Joshua Newnham
  • Original title: Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
  • ISBN: 9781788835596, 9781788835596
  • Date of issue: 2018-06-28
  • Format: Ebook
  • Item ID: e_14xw
  • Publisher: Packt Publishing