Beginning Machine Learning in iOS CoreML Framework

Beginning Machine Learning in iOS: CoreML Framework
Authors: Mohit Thakkar
ISBN-10: 1484242963
ISBN-13: 9781484242964
Edition 版本:‏ 1st ed.
Released: 2019-02-21
Print Length 页数: 172 pages

Book Description


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

1.Introduction to Machine Learning
2.Introduction to Core ML Framework
3.Custom Core L Models Using Turi Create
4.Custom Core L Models Using CreateL
5.Improving Computational Efficiency[/erphpdown]

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