Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli.

dc.contributor.author	Rothman Denis
dc.contributor.author	Gulli Antonio
dc.date.accessioned	2024-01-26T21:36:11Z
dc.date.available	2024-01-26T21:36:11Z
dc.date.issued	2022
dc.identifier.citation	Rothman. Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3: Second edition. - 1 online resource. - URL: https://libweb.kpfu.ru/ebsco/pdf/3197830.pdf
dc.identifier.isbn	9781803243481
dc.identifier.isbn	1803243481
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/178442
dc.description	Includes index.
dc.language	English
dc.language.iso	en
dc.subject.other	Artificial intelligence -- Data processing.
dc.subject.other	Python (Computer program language)
dc.subject.other	Cloud computing.
dc.subject.other	Electronic books.
dc.title	Transformers for natural language processing: build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3/ Denis Rothman ; foreword by Antonio Gulli.
dc.type	Book
dc.description.pages	1 online resource.
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C874