Patent · US Active

Selective performance of deterministic computations for neural networks

US11410016B2 · kind B2 · utility

0Cited by
5References
20Claims
0Family size

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Key dates

Filing dateApr 26, 2019
Grant dateAug 9, 2022
Priority date
Expiry dateMar 5, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V10/774
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Selective performance of deterministic computations for neural networks is disclosed, including: obtaining a statistical model for a selection layer of the neural network, the statistical model indicating probabilities that corresponding values are selected by the selection layer, the statistical model being generated using historical data; selectively performing a subset of a plurality of deterministic computations on new input data to the neural network, the plurality of deterministic computations being associated with the deterministic computation layer, the selective performance of the deterministic computations being based at least in part on the statistical model and generating a computation result; and outputting the computation result to another layer in the neural network.

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