Beginning Machine Learning in iOS - CoreML Framework (Paperback, 1st 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 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.

General

Imprint:	Apress
Country of origin:	United States
Release date:	February 2019
First published:	2019
Authors:	Mohit Thakkar
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	157
Edition:	1st ed.
ISBN-13:	978-1-4842-4296-4
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Computer hardware & operating systems > Operating systems & graphical user interfaces (GUIs) > Macintosh OS Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-4842-4296-3
Barcode:	9781484242964

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