Natural Language Processing with PyTorchlow: Build Intelligent Language Applications Using Deep Learning - Softcover

Rao, Delip; Mcmahan, Brian

Softcover

ISBN 10: 1491978236 ISBN 13: 9781491978238

Publisher: O′Reilly, 2019

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 this title

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.

Edition details

• Publisher: O′Reilly
• Publication date: 2019
• Language: English
• ISBN 10: 1491978236
• ISBN 13: 9781491978238
• Binding: Paperback
• Edition number: 1
• Number of pages: 256