Pruning and Slicing Neural Networks using Formal Verification

@article{Lahav2021PruningAS,
  title={Pruning and Slicing Neural Networks using Formal Verification},
  author={Ori Lahav and Guy Katz},
  journal={2021 Formal Methods in Computer Aided Design (FMCAD)},
  year={2021},
  pages={1-10}
}
  • O. LahavGuy Katz
  • Published 28 May 2021
  • Computer Science
  • 2021 Formal Methods in Computer Aided Design (FMCAD)
Deep neural networks (DNNs) play an increasingly important role in various computer systems. In order to create these networks, engineers typically specify a desired topology, and then use an automated training algorithm to select the network’s weights. While training algorithms have been studied extensively and are well understood, the selection of topology remains a form of art, and can often result in networks that are unnecessarily large — and consequently are incompatible with end devices… 

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