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Regularization of deep neural networks with spectral dropout
Salman H. Khan
*
, Munawar Hayat
, Fatih Porikli
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Article
›
peer-review
120
Citations (Scopus)
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Computer Science
Deep Neural Network
100%
Basis Function
100%
Regularization
100%
Convolutional Neural Network
50%
Speed-up
50%
Neural Network
50%
Convergence Rate
50%
Training Process
50%
Performance Gain
50%
Generalization Ability
50%
Regularization Method
50%
Imagenet Challenge
50%
Engineering
Deep Neural Network
100%
Basis Function
100%
Regularization
100%
Convolutional Neural Network
50%
Fourier Transform
50%
Convergence Rate
50%
Decorrelation
50%
Regularization Method
50%
Neural Network Weight
50%
Mathematics
Regularization
100%
Deep Neural Network
100%
Basis Function
66%
Convergence Rate
33%
Convolutional Neural Network
33%
Neural Network
33%
Training Process
33%
Network Weight
33%