Hardware-aware probabilistic machine learning models learning, inference and use cases

Hardware-aware probabilistic machine learning models learning, inference and use cases

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the ove...

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Podrobná bibliografie
Hlavní autoři: Galindez Olascoaga, Laura Isabel (Autor), Meetr, Wannes (Autor), Verhelst, Marian (Autor)
Médium: Electronic Resource
Jazyk:English
Vydáno: Switzerland Springer [2021]
Témata:
Machine learning.
Electronic books.
On-line přístup:https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007/978-3-030-74042-9
https://doi.org/10.1007/978-3-030-74042-9