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Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets.

Vadim V. Romanuke
Published in: Appl. Comput. Syst. (2017)
Keyphrases
  • convolutional neural networks
  • convolutional network
  • database
  • case study
  • resource allocation
  • multi layer
  • synthetic datasets
  • real time
  • databases
  • multiscale
  • benchmark datasets
  • synthetic and real datasets