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Transformers for natural language pr...
~
Rothman, Denis.
Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more
紀錄類型:
書目-語言資料,印刷品 : 單行本
副題名:
build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more
作者:
RothmanDenis.,
出版地:
Birmingham, UK
出版者:
Packt Publishing, Ltd.;
出版年:
c2021.
面頁冊數:
xvi, 360 p.ill. : 24 cm.;
標題:
Artificial intelligence - Data processing. -
標題:
Artificial intelligence - Software. -
標題:
Python (Computer program language) -
標題:
Cloud computing. -
標題:
Artificial intelligence. -
標題:
Artificial intelligence - Data processing. -
標題:
Cloud computing. -
標題:
Python (Computer program language) -
摘要註:
Being the first book in the market to dive deep into the Transformers, it is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers using PyTorch, TensorFlow, Hugging Face, Trax, and AllenNLP.
ISBN:
9781800565791
Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more
Rothman, Denis.
Transformers for natural language processing
: build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more / Denis Rothman. - Birmingham, UK : Packt Publishing, Ltd., c2021.. - xvi, 360 p. ; ill. ; 24 cm..
Includes bibliographical references and index..
ISBN 9781800565791ISBN 1800565798
Artificial intelligenceArtificial intelligencePython (Computer program language)Cloud computing.Artificial intelligence.Artificial intelligenceCloud computing.Python (Computer program language) -- Data processing. -- Software. -- Data processing.
Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more
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