東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Deep learning for natural language p...

Surdeanu, Mihai.

FindBook

Google Book

Amazon

博客來

Deep learning for natural language processing = a gentle introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning for natural language processing/ Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega.
其他題名:	a gentle introduction /
作者:	Surdeanu, Mihai.
其他作者:	Valenzuela-Escárcega, Marco Antonio.
出版者:	Cambridge :Cambridge University Press, : 2024.,
面頁冊數:	xviii, 325 p. :ill., digital ;24 cm.
附註:	Title from publisher's bibliographic system (viewed on 02 Feb 2024).
標題:	Natural language processing (Computer science) -
電子資源:	https://doi.org/10.1017/9781009026222
ISBN:	9781009026222

Deep learning for natural language processing = a 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: 9781009026222Subjects--Topical Terms:

565309
Natural language processing (Computer science)

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

Dewey Class. No.: 006.35

Deep learning for natural language processing = a gentle introduction /
LDR:02003nmm a2200265 a 4500 001 2415204
003 UkCbUP
005 20240303165839.0
006 m d
007 cr nn 008maaau
008 260207s2024 enk o 1 0 eng d
020 $a 9781009026222 $q (electronic bk.)
020 $a 9781316515662 $q (hardback)
020 $a 9781009012652 $q (paperback)
035 $a CR9781009026222
040 $a UkCbUP $b eng $c UkCbUP $d GP
041 0 $a eng
050 4 $a QA76.9.N38 $b S87 2024
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b S961 2024
100 1 $a Surdeanu, Mihai. $3 3792463
245 1 0 $a Deep learning for natural language processing $h [electronic resource] : $b a gentle introduction / $c Mihai Surdeanu, Marco Antonio Valenzuela-Escárcega.
260 $a Cambridge : $b Cambridge University Press, $c 2024.
300 $a xviii, 325 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Machine learning. $3 533906
700 1 $a Valenzuela-Escárcega, Marco Antonio. $3 3792464
856 4 0 $u https://doi.org/10.1017/9781009026222