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EMlikeNN

Pytorch implementation of 'TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER' (ICLR2017)

Requirements

  • Pytorch 1.0
  • tqdm

CIFAR100 Results

Model Test accuracy
Baseline 36.27%
SimpleCNN(uniform noise initialization) 30.24% (...?)

optimization still on progress...

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Pytorch implementation of 'TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER' (ICLR2017)

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