Beginning machine learning in iOS : CoreML framework / Mohit Thakkar
نوع المادة : نصاللغة: الإنجليزية الناشر:New York, NY : Apress, 2019وصف:xi, 157 pages: illustration ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 1484242971
- 9781484242971
- 9781484242964
- Q325.5 .T435 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .T435 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000005289 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .T435 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000005290 |
Includes index
Includes bibliographical references
Introduction to machine learning -- Introduction to Core ML framework -- Custom Core ML models using Turi create -- Custom Core ML models using Create ML -- Improving computational efficiency
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