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Online Public Access Catalogue

题名/责任者:

Transformers for machine learning : a deep dive / Uday Kamath, Kenneth Graham, Wael Emara.

出版发行项:

Boca Raton, FL : CRC Press, Taylor & Francis Group, 2022.

ISBN:

9780367771652

ISBN:

9780367767341

载体形态项:

xxv, 257 pages : illustrations ; 25 cm.

丛编说明:

Chapman & Hall/CRC machine learning & pattern recognition series

个人责任者:

Kamath, Uday, author.

论题主题:

Neural networks (Computer science).

论题主题:

Computational intelligence.

论题主题:

Machine learning.

中图法分类号:

TP183

一般附注:

"A Chapman & Hall Book" -- Cover.

书目附注:

Includes bibliographical references and index.

摘要附注:

"Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field"--

豆瓣简介：