Toshiba AI Technology Catalog

  • Placement and Design

Compaction of deep neural networks

Easily reduce the size of deep neural networks (DNN) so that they can be installed in edge devices.


  • Developed a pruning method using “group sparsity phenomenon" that occurs learning a deep neural network with a common used conditions.
  • Applied our technology for using a DNN on edge devices, which have a low computation power (e.g., on-board devices or robots).

Applications



  • Edge devices in vehicles or robots

Benchmarks, strengths, and track record



  • Reduce network parameters by 80%, while maintaining deep neural network performance (ICMLA2018)