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Название: Transfer Learning for Natural Language Processing
Автор: Paul Azunre
Издательство: Manning Publications
Год: 2021
Формат: True PDF
Страниц: 266
Размер: 10 Mb
Язык: English
Transfer Learning for Natural Language Processing gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP.
Building and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address this concern, cutting-edge transfer learning techniques enable you to start with pretrained models you can tweak to meet your exact needs. In Transfer Learning for Natural Language Processing, you'll go hands-on with customizing these open source resources for your own NLP architectures.
Автор: Paul Azunre
Издательство: Manning Publications
Год: 2021
Формат: True PDF
Страниц: 266
Размер: 10 Mb
Язык: English
Transfer Learning for Natural Language Processing gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP.
Building and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address this concern, cutting-edge transfer learning techniques enable you to start with pretrained models you can tweak to meet your exact needs. In Transfer Learning for Natural Language Processing, you'll go hands-on with customizing these open source resources for your own NLP architectures.