Natural Language Processing with Pytorch : Build Intelligent Language Applications Using Deep Learning
Rao, Delip, McMahan, Brian
ISBN 10: 1491978236 ISBN 13: 9781491978238
Published by O'Reilly Media, Incorporated, 2019
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Better World Books: West, Reno, NV, U.S.A.
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Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # 52002628-75
Synopsis:
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If youâ 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
About the Author: Delip Rao is a machine learning and natural language processing researcher focused on building AI solutions for consumers and businesses. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more, and has published several highly cited papers in these areas. Brian McMahan is a research engineer at Joostware, a San Francisco-based company specializing in consulting and building intellectual property in natural language processing and deep learning. He has a PhD in Computer Science from Rutgers University where he built Bayesian and Deep Learning models of language and semantics as they apply to machine perception in interactive situations.
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Bibliographic Details
Title: Natural Language Processing with Pytorch : ...
Publisher: O'Reilly Media, Incorporated
Publication Date: 2019
Binding: Soft cover
Condition: Very Good
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