Bridgeout: stochastic bridge regularization for deep neural networks

21 Apr 2018 Najeeb Khan Jawad Shah Ian Stavness

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 number of image recognition tasks... (read more)

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