rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Deep learning for natural language processing
  name:
    name part: Raaijmakers, Stephan
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nyu
    date issued: 2022
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (296 pages) : illustrations
  abstract: Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses!
  note: Stephan Raaijmakers.
  note: Includes bibliographical references and index.
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Speech processing systems
  subject:
    topic: Machine learning
  subject:
    topic: Machine learning
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Speech processing systems
  classification: QA76.9.N38
  classification: 006.3/5
  identifier: 9781617295447
  identifier: 1617295442
  identifier: 9781638353997
  identifier: 1638353999
  identifier: 9781617295447 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 221206
    record change date: 20260123223855.3
    record identifier: in00004673197
    language of cataloging:
      language term: eng