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portada Natural Language Processing With Pytorch: Build Intelligent Language Applications Using Deep Learning
Type
Physical Book
Publisher
Year
2019
Language
English
Pages
256
Format
Paperback
Dimensions
17.5 x 23.4 x 1.3 cm
Weight
0.41 kg.
ISBN13
9781491978238
Edition No.
1

Natural Language Processing With Pytorch: Build Intelligent Language Applications Using Deep Learning

Delip Rao (Author) · Brian McMahan (Author) · O'Reilly Media · Paperback

Natural Language Processing With Pytorch: Build Intelligent Language Applications Using Deep Learning - Rao, Delip ; McMahan, Brian

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Synopsis "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 paradigmMaster the basics of the PyTorch optimized tensor manipulation libraryGet an overview of traditional NLP concepts and methodsLearn the basic ideas involved in building neural networksUse embeddings to represent words, sentences, documents, and other featuresExplore sequence prediction and generate sequence-to-sequence modelsLearn design patterns for building production NLP systems

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