Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness

Title
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness
Authors
Keywords
Neural networks, Generalization error, Learnability, Data distribution, Cover complexity, Neural network smoothness
Journal
NEURAL NETWORKS
Volume 130, Issue -, Pages 85-99
Publisher
Elsevier BV
Online
2020-07-04
DOI
10.1016/j.neunet.2020.06.024

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