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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island :
Manning,
[2021]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Azunre, Paul, |e author. | |
| 245 | 1 | 0 | |a Transfer Learning for Natural Language Processing / |c Paul Azunre. |
| 264 | 1 | |a Shelter Island : |b Manning, |c [2021] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on October 07, 2021). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Part 1 Introduction and overview -- 1 What is transfer learning? -- 2 Getting started with baselines: Data preprocessing -- 3 Getting started with baselines: Benchmarking and optimization -- Part 2 Shallow transfer learning and deep transfer learning with recurrent neural networks (RNNs) -- 4 Shallow transfer learning for NLP -- 5 Preprocessing data for recurrent neural network deep transfer learning experiments -- 6 Deep transfer learning for NLP with recurrent neural networks -- Part 3 Deep transfer learning with transformers and adaptation strategies -- 7 Deep transfer learning for NLP with the transformer and GPT -- 8 Deep transfer learning for NLP with BERT and multilingual BERT -- 9 ULMFiT and knowledge distillation adaptation strategies -- 10 ALBERT, adapters, and multitask adaptation strategies -- 11 Conclusions -- Appendix A Kaggle primer -- Appendix B Introduction to fundamental deep learning tools. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Azunre, Paul. |t Transfer Learning for Natural Language Processing. |d New York : Manning Publications Co. LLC, ©2021 |z 9781617297267 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781617297267/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6697000 | ||
| 938 | |a EBSCOhost |b EBSC |n 2973838 | ||
| 938 | |a YBP Library Services |b YANK |n 302394371 | ||
| 994 | |a 92 |b IZTAP | ||