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: Generativní adversariální sítě pro transformaci obrázků do stylu malíře Moneta
  title info:
    title: Generative Adversarial Networks for Monet-Style Image Transformation
  name:
    name part: Bertsch, Jan
    role:
      role term: creator
    role:
      role term: dis
  name:
    name part: Turečková, Alžběta
    role:
      role term: ths
  name:
    name part: Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
    role:
      role term: dgg
  name:
    name part: Tomas Bata University in Zlín. Faculty of Applied Informatics
    role:
      role term: dgg
  type of resource: text
  genre: diplomová práce
  origin info:
    date issued: 2024
    issuance: monographic
  language:
    language term: cze
  physical description:
    extent: 84s
  note: Studijní obor: Softwarové inženýrství
  note: Studijní obor: Software Engineering
  note: Ústav: Ústav informatiky a umělé inteligence
  note: Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
  note: Tomas Bata University in Zlín. Faculty of Applied Informatics
  note: Bez omezení
  subject:
    topic: GAN
  subject:
    topic: DCGAN
  subject:
    topic: Pix2Pix
  subject:
    topic: CycleGAN
  subject:
    topic: TensorFlow
  subject:
    topic: Keras
  subject:
    topic: Python
  subject:
    topic: GAN
  subject:
    topic: DCGAN
  subject:
    topic: Pix2Pix
  subject:
    topic: CycleGAN
  subject:
    topic: TensorFlow
  subject:
    topic: Keras
  subject:
    topic: Python
  identifier: http://hdl.handle.net/10563/55938
  access condition: Bez omezení
  record info:
    record identifier: zp66670