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Algorithms for Verifying Deep Neural Networks - Changliu Liu - Bog

af Changliu Liu

indgår i Foundations and Trends (R) in Optimization serien

Algorithms for Verifying Deep Neural Networks af Changliu Liu
Bag om Algorithms for Verifying Deep Neural Networks

Explores a class of methods that are capable of formally verifying properties of deep neural networks. The book introduces a unified mathematical framework for verifying neural networks, classify existing methods under this framework, provide pedagogical implementations of existing methods, and compare those methods on a set of benchmark problems.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680837865
  • Indbinding:
  • Paperback
  • Sideantal:
  • 176
  • Udgivet:
  • 11. februar 2021
  • Størrelse:
  • 156x234x0 mm.
  • Vægt:
  • 259 g.
  • 2-3 uger.
  • 22. november 2024

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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

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Beskrivelse af Algorithms for Verifying Deep Neural Networks

Explores a class of methods that are capable of formally verifying properties of deep neural networks. The book introduces a unified mathematical framework for verifying neural networks, classify existing methods under this framework, provide pedagogical implementations of existing methods, and compare those methods on a set of benchmark problems.

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