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• On Feature Normalization and Data Augmentation

  ARXIV/Neural Network 2020. 3. 10. 11:31

  https://arxiv.org/abs/2002.11102v2 On Feature Normalization and Data Augmentation Modern neural network training relies heavily on data augmentation for improved generalization. After the initial success of label-preserving augmentations, there has been a recent surge of interest in label-perturbing approaches, which combine features an arxiv.org abstract 본 논문은 특징 일반화에 의해 추출되고 첫번째와 두번째 모메트를 활용하는..

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• Neural Kernels Without Tangents

  ARXIV/Neural Network 2020. 3. 7. 22:08

  https://arxiv.org/abs/2003.02237v2

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