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Bartschat, Andreas [Author]; Unger, Tim [Author]; Scherr, Tim [Author]; Stegmaier, Johannes [Author]; Mikut, Ralf [Author]; Reischl, Markus [Author]

Robustness of Deep Learning Architectures with Respect to Training Data Variation

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  • Media type: Electronic Conference Proceeding; E-Article; Text
  • Title: Robustness of Deep Learning Architectures with Respect to Training Data Variation
  • Contributor: Bartschat, Andreas [Author]; Unger, Tim [Author]; Scherr, Tim [Author]; Stegmaier, Johannes [Author]; Mikut, Ralf [Author]; Reischl, Markus [Author]
  • imprint: KIT Scientific Publishing, Karlsruhe, 2018-01-01
  • Language: English
  • DOI: https://doi.org/10.5445/IR/1000087724
  • ISBN: 978-3-7315-0845-8
  • Keywords: DATA processing & computer science
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Access State: Open Access