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Deep learning for natural language processinga gentle introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning for natural language processingMihai Surdeanu, Marco Antonio Valenzuela-Escárcega.
Reminder of title:	a gentle introduction /
Author:	Surdeanu, Mihai.
other author:	Valenzuela-Escárcega, Marco Antonio.
Published:	Cambridge :Cambridge University Press,2024.
Description:	xviii, 325 p. :ill., digital ;24 cm.
Notes:	Title from publisher's bibliographic system (viewed on 02 Feb 2024).
Subject:	Natural language processing (Computer science)
Online resource:	https://doi.org/10.1017/9781009026222
ISBN:	9781009026222$q(electronic bk.)

Deep learning for natural language processinga gentle introduction /
Surdeanu, Mihai.

Deep learning for natural language processinga gentle introduction /[electronic resource] :Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega. - Cambridge :Cambridge University Press,2024. - xviii, 325 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 02 Feb 2024).

Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems.

ISBN: 9781009026222$q(electronic bk.)Subjects--Topical Terms:

200539
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / S87 2024

Dewey Class. No.: 006.35

Deep learning for natural language processinga gentle introduction /
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500 $a Title from publisher's bibliographic system (viewed on 02 Feb 2024).
520 $a Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems.
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