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 in Python
    sub title: preventing overfitting
  name:
    name part: Barari, Soubhik
    role:
      role term: Academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:03:53)) : sound, colour.
  abstract: Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses techniques in Python to prevent overfitting data, including cross-validation and dropout layers.
  target audience: specialized
  note: Academic, Soubhik Barari.
  note: Closed-captions in English.
  subject:
    topic: Python (Computer program language)
  subject:
    topic: Machine learning
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Langage de programmation)
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Machine learning
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Python (Computer program language)
  classification: QA76.73.P98 D44 2019
  classification: 005.133
  related item:
    title info:
      title: Deep Learning in Python ; 11
  identifier: 9781526493453
  identifier: 1526493454
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190508
    record change date: 20241105203109.9
    record identifier: in00005514779
    language of cataloging:
      language term: eng