Transformers for natural language processing: build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
2021
|
| Schriftenreihe: | Expert insight
|
| Schlagworte: | |
| Online-Zugang: | FHN01 UBR01 UBY01 UER01 |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (xvi, 360 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781800568631 |
Internformat
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Datensatz im Suchindex
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| discipline | Informatik |
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| id | DE-604.BV047160289 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:40:31Z |
| indexdate | 2024-07-10T09:04:19Z |
| institution | BVB |
| isbn | 9781800568631 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032565928 |
| oclc_num | 1240400328 |
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| owner_facet | DE-355 DE-BY-UBR DE-706 DE-92 DE-29 |
| physical | 1 Online-Ressource (xvi, 360 Seiten) Illustrationen, Diagramme |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Packt |
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| series2 | Expert insight |
| spelling | Rothman, Denis Verfasser (DE-588)1221752987 aut Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more Denis Rothman Birmingham ; Mumbai Packt 2021 1 Online-Ressource (xvi, 360 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Expert insight 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. Deep learning (DE-588)1135597375 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Electronic books Natürliche Sprache (DE-588)4041354-8 s Deep learning (DE-588)1135597375 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-80056-579-1 |
| spellingShingle | Rothman, Denis Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more Deep learning (DE-588)1135597375 gnd Natürliche Sprache (DE-588)4041354-8 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)4041354-8 |
| title | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more |
| title_auth | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more |
| title_exact_search | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more |
| title_exact_search_txtP | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more |
| title_full | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more Denis Rothman |
| title_fullStr | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more Denis Rothman |
| title_full_unstemmed | Transformers for natural language processing build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more Denis Rothman |
| title_short | Transformers for natural language processing |
| title_sort | transformers for natural language processing build innovative deep neural network architectures for nlp with python pytorch tensorflow bert roberta and more |
| title_sub | build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more |
| topic | Deep learning (DE-588)1135597375 gnd Natürliche Sprache (DE-588)4041354-8 gnd |
| topic_facet | Deep learning Natürliche Sprache |
| work_keys_str_mv | AT rothmandenis transformersfornaturallanguageprocessingbuildinnovativedeepneuralnetworkarchitecturesfornlpwithpythonpytorchtensorflowbertrobertaandmore |