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Natural Language Processing with PyTorchlowBuild Intelligent Language Applications Using Deep Learning

Format: Paperback

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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

Format: Paperback
Published: 2019
Pages: 238
Publisher: O'Reilly Media
ISBN: 9781491978238

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Our conditions mean the following:

  • New - a brand new book
  • Almost New - appears new but is actually secondhand.
  • Very Good - only minor imperfections such as minor scuffs to edge or cover or a price written in pencil or shop sticker.
  • Standard Secondhand - Clearly been read before, but not too bad. We do not recommend these for gifting. Spines usually creased. Could also include creases or folds to cover, some writing such as in the cover or elsewhere, underlining or highlighting, but might not do. Possibly some stains or marks. Similar in general to books in any secondhand shop or charity shop.
  • Poor Condition - Usually this will have a specific problem such as writing inside, water damage, missing dust jacket, heavy staining, large creases or cuts. These are readable copies but not nice ones. On other websites this condition is called 'Acceptable' or 'Fair' , but we want to be more honest.
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