Bridgeout: Stochastic Bridge Regularization for Deep Neural Networks

Bridgeout: Stochastic Bridge Regularization for Deep Neural Networks

A major challenge in training deep neural networks is overfitting, i.e. inferior performance on unseen test examples compared to performance on training examples. To reduce overfitting, stochastic regularization methods have shown superior performance compared to deterministic weight penalties on a...

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Bibliographic Details
Main Authors: Najeeb Khan, Jawad Shah, Ian Stavness
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Bridge regularization
deep neural networks
dropout
image classification
neural network regularization
neural network training
Online Access:https://ieeexplore.ieee.org/document/8425643/

Internet

https://ieeexplore.ieee.org/document/8425643/

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