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Beginning machine learning in iOS : CoreML framework /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Thakkar, Mohit, |e author. | |
| 245 | 1 | 0 | |a Beginning machine learning in iOS : |b CoreML framework / |c Mohit Thakkar. |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
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