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 and neural networks in PyTorch for beginners
  name:
    name part: We, Daniel
    role:
      role term: creator
    role:
      role term: speaker.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Films de formation.
  origin info:
    place:
      place term: xx
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 streaming video file (2 hr., 8 min., 17 sec.))
  abstract: "Artificial intelligence (AI) is the hottest topic currently out there, there's no doubt about that. This is the future. Neural networks in particular have seen a lot of attention and they will be used everywhere -self driving cars, predictions in finance and sales forecasts - everywhere and across all industries. To be successful in the working world of tomorrow we have to expose ourselves to this interesting topic - and from the author's personal experience - coding your own neural network is the best way to understand how they work. Besides TensorFlow there is a new very interesting deep learning framework which is developed by Facebook - PyTorch. A challenge? Indeed. But together we can do it. Excited? I hope so. See you in the first lecture. Let's get into it."--Resource description page
  note: Daniel We.
  note: Title from resource description page (Safari, viewed July 25, 2018).
  note: Presenter, Daniel We.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Neural Networks, Computer
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Artificial intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  classification: QA76.87
  identifier: CL0500000981 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UMI
    record creation date: 180725
    record change date: 20241201234722.6
    record identifier: in00005592294
    language of cataloging:
      language term: eng