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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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Bibliographic Details
Main Author: Mathew, Jibin
Format: eBook
Language:English
Published: [Place of publication not identified] Packt 2019
Subjects:
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Natural Language Processing (computer Science) / Fast / (ocolc)fst01034365
Apprentissage Automatique
Traitement Automatique Des Langues Naturelles
Python (langage De Programmation)
Python (computer Program Language) / Fast / (ocolc)fst01084736
Natural Language Processing (computer Science) / Http://id.loc.gov/authorities/subjects/sh88002425
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"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
Item Description:Release date from resource description page (Safari, viewed April 29, 2019)
Physical Description:1 streaming video file (2 hr., 24 min., 40 sec.)

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