Beginning Machine Learning in iOS: CoreML Framework

Beginning Machine Learning in iOS: CoreML Framework Front Cover
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157 pages

Book Description

Implement models in your . 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 products.

Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and 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 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 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.

Book Details

  • Title: Beginning Machine Learning in iOS: CoreML Framework
  • Author:
  • Length: 157 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-13
  • ISBN-10: 1484242963
  • ISBN-13: 9781484242964
File HostFree Download LinkFormatSize (MB)Upload Date
UsersCloud Click to downloadTrue PDF, EPUB13.702/20/2019
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