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...

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Detalles Bibliográficos
Otros Autores: Azunre, Paul, author (author)
Formato: Grabación no musical
Idioma:Inglés
Publicado: [Shelter Island, New York] : Manning Publications [2021]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009853632506719
Descripción
Sumario: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.
Descripción Física:1 online resource (1 audio file)