Transfer Learning for Natural Language Processing:
Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Shelter Island, NY
Manning Publications
2021
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| Ausgabe: | 1st edition |
| Schlagworte: | |
| Zusammenfassung: | Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you’ll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications |
| Beschreibung: | 242 Seiten |
| Format: | World Wide Web |
| ISBN: | 9781617297267 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV047612169 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:40:09Z |
| indexdate | 2025-02-13T09:00:44Z |
| institution | BVB |
| isbn | 9781617297267 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032996982 |
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| owner | DE-573 |
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| physical | 242 Seiten |
| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | Manning Publications |
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| spelling | Azunre, Paul Verfasser aut Transfer Learning for Natural Language Processing Azunre, Paul 1st edition Shelter Island, NY Manning Publications 2021 242 Seiten txt rdacontent n rdamedia nc rdacarrier Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you’ll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications World Wide Web Deep Learning (DE-588)1135597375 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 s Deep Learning (DE-588)1135597375 s Sprachverarbeitung (DE-588)4116579-2 s DE-604 Erscheint auch als Online-Ausgabe 978-1-61729-726-7 |
| spellingShingle | Azunre, Paul Transfer Learning for Natural Language Processing Deep Learning (DE-588)1135597375 gnd Natürliche Sprache (DE-588)4041354-8 gnd Sprachverarbeitung (DE-588)4116579-2 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)4041354-8 (DE-588)4116579-2 |
| title | Transfer Learning for Natural Language Processing |
| title_auth | Transfer Learning for Natural Language Processing |
| title_exact_search | Transfer Learning for Natural Language Processing |
| title_exact_search_txtP | Transfer Learning for Natural Language Processing |
| title_full | Transfer Learning for Natural Language Processing Azunre, Paul |
| title_fullStr | Transfer Learning for Natural Language Processing Azunre, Paul |
| title_full_unstemmed | Transfer Learning for Natural Language Processing Azunre, Paul |
| title_short | Transfer Learning for Natural Language Processing |
| title_sort | transfer learning for natural language processing |
| topic | Deep Learning (DE-588)1135597375 gnd Natürliche Sprache (DE-588)4041354-8 gnd Sprachverarbeitung (DE-588)4116579-2 gnd |
| topic_facet | Deep Learning Natürliche Sprache Sprachverarbeitung |
| work_keys_str_mv | AT azunrepaul transferlearningfornaturallanguageprocessing |