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, 2nd Edition
  name:
    name part: Krohn, Jon
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  origin info:
    place:
      place term: xx
    date issued: 2020
    edition: 2nd edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file, approximately 4 hr., 60 min.)
  abstract: Nearly 4 Hours of Video Instruction An intuitive introduction to processing natural language data with TensorFlow-Keras deep learning models. Overview Deep Learning for Natural Language Processing LiveLessons, Second Edition , is an introduction to building natural language models with deep learning. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow 2, the most popular Deep Learning library. In early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data. About the Instructor Jon Krohn is Chief Data Scientist at the machine learning company untapt. He presents a popular series of deep learning tutorials published by Addison-Wesley and is the author of the bestselling book Deep Learning Illustrated . Jon teaches his deep learning curriculum in-classroom at the New York City Data Science Academy, as well as guest lecturing at Columbia University and New York University. He holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading journals since 2010. Skill Level Intermediate Learn How To Preprocess natural language data for use in machine learning applications Transform natural language into numerical representations with word2vec Make predictions with Deep Learning models trained on natural language Apply state-of-the-art NLP approaches with Keras, the high-level API for TensorFlow 2 Improve Deep Learning model performance by selecting appropriate model architectures and tuning model hyperparameters Who Should Take This Course These LiveLessons are perfectly suited to software engineers, data scientists, an…
  note: Krohn, Jon.
  note: Videorecording.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2020.
  note: Mode of access: World Wide Web.
  identifier: 0136620019
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 040220
    record change date: 20260129225949.7
    record identifier: in00004099735