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Beginning Machine Learning in iOS

CoreML Framework
BuchKartoniert, Paperback
157 Seiten
Englisch
Springererschienen am21.02.20191st ed.
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 LearnUnderstand the CoreML componentsTrain custom modelsImplement GPU processing for better computation efficiencyEnable machine learning in your application Who This Book Is ForNovice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR29,95
E-BookPDF1 - PDF WatermarkE-Book
EUR26,99

Produkt

KlappentextImplement 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 LearnUnderstand the CoreML componentsTrain custom modelsImplement GPU processing for better computation efficiencyEnable machine learning in your application Who This Book Is ForNovice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.
Details
ISBN/GTIN978-1-4842-4296-4
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2019
Erscheinungsdatum21.02.2019
Auflage1st ed.
Seiten157 Seiten
SpracheEnglisch
Gewicht282 g
IllustrationenXI, 157 p. 112 illus.
Artikel-Nr.45920586

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

Mohit Thakkar is an Associate Software Engineer with MNC. He has a bachelor's degree in computer engineering and is the author of several independently published titles, including Artificial Intelligence, Data Mining & Business Intelligence, iOS Programming, and Mobile Computing & Wireless Communication. He also published a research paper titled "Remote Health Monitoring using Implantable Probes to Prevent Untimely Death of Animals" in the International Journal of Advanced Research in Management, Architecture, Technology and Engineering.