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Natural language processing with PyTorch : build intelligent language applications using deep learning

Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you're a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems

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Series Title

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Call Number

004.6782 Rao n

Publisher

Beijing : O'Reilly Media., 2019

Collation

238 p. ; 24 cm.

Language

English

ISBN/ISSN

9781491978238

Classification

004.6782

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Edition

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Subject(s)

MACHINE LEARNING
NATURAL LANGUAGE PROCESSING (COMPUTER SCIENCE)
PROCESAMIENTO EN LENGUAJE NATURAL (INFORMÁTICA)

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