Hands-on natural language processing with PyTorch /

"The main goal of this course is to train you to perform complex NLP tasks (and build intelligent language applications) using Deep Learning with PyTorch. You will build two complete real-world NLP applications throughout the course. The first application is a Sentiment Analyzer that analyzes d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Mathew, Jibin (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Packt, 2019.
Temas:
Natural language processing (Computer science)
Machine learning.
Python (Computer program language)
Traitement automatique des langues naturelles.
Apprentissage automatique.
Python (Langage de programmation)
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"The main goal of this course is to train you to perform complex NLP tasks (and build intelligent language applications) using Deep Learning with PyTorch. You will build two complete real-world NLP applications throughout the course. The first application is a Sentiment Analyzer that analyzes data to determine whether a review is positive or negative towards a particular movie. You will then create an advanced Neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the speed and flexibility of PyTorch to translate given text into different languages."--Resource description page
Notas:Release date from resource description page (Safari, viewed April 29, 2019).
Descripción Física:1 online resource (1 streaming video file (2 hr., 24 min., 40 sec.))

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