Transfer learning deals with how machine learning and artificial intelligence systems can quickly adapt to new tasks and environments. This in-depth tutorial for students, researchers, and developers covers foundations, plus applications such as text mining, inference on social networks, recommendation, multimedia, and cyber-physical systems.

Transfer Learning

by Qiang (Hong Kong University Of Science And Technology) Yang, Sinno Jialin (Nanyang Technological University, Singapore) Pan, Wenyuan Dai e Yu (Hong Kong University Of Science And Technology) Zhang

Property Description
ISBN: 9781107016903
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: February of 2020
Language: English
Cover: Hardcover
Pages: 390
Format: Book
Collection: Acta Numerica
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781107016903

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