Beginning Machine Learning in iOS: CoreML Framework

✍ Scribed by Mohit Thakkar

• Publisher: Apress
• Year: 2019
• Tongue: English
• Leaves: 163
• Edition: 1st ed.
• Category: Library

✦ Synopsis

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products.
Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps.
Beginning Machine Learning in iOS is your guide to putting machine learning to work in your iOS applications.
What You'll Learn

• Understand the CoreML components
  
• Train custom models
  
• Implement GPU processing for better computation efficiency
  
• Enable machine learning in your application
  

Who This Book Is For

Novice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.

✦ Table of Contents

Front Matter ....Pages i-xi
Introduction to Machine Learning (Mohit Thakkar)....Pages 1-13
Introduction to Core ML Framework (Mohit Thakkar)....Pages 15-49
Custom Core ML Models Using Turi Create (Mohit Thakkar)....Pages 51-94
Custom Core ML Models Using Create ML (Mohit Thakkar)....Pages 95-138
Improving Computational Efficiency (Mohit Thakkar)....Pages 139-151
Back Matter ....Pages 153-157

✦ Subjects

Computer Science; Apple and iOS