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Beginning Machine Learning in iOS

Medium: Buch
ISBN: 978-1-4842-4296-4
Verlag: Apress
Erscheinungstermin: 21.02.2019
Lieferfrist: bis zu 10 Tage

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. 


Produkteigenschaften


  • Artikelnummer: 9781484242964
  • Medium: Buch
  • ISBN: 978-1-4842-4296-4
  • Verlag: Apress
  • Erscheinungstermin: 21.02.2019
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2019
  • Produktform: Kartoniert, Paperback
  • Gewicht: 271 g
  • Seiten: 157
  • Format (B x H x T): 155 x 235 x 10 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Chapter 1. Introduction to Machine Learning.- Chapter 2. Introduction to Core ML Framework.- Chapter 3. Custom ML Models Using Turi Create.- Chapter 4. Custom Core ML Models using Create ML.- Chapter 5. Improving Computational Efficiency.