Effective and Efficient Dropout for Deep Convolutional Neural Networks

6 Apr 2019Shaofeng CaiYao ShuGang ChenBeng Chin OoiWei WangMeihui Zhang

Convolutional Neural networks (CNNs) based applications have become ubiquitous, where proper regularization is greatly needed. To prevent large neural network models from overfitting, dropout has been widely used as an efficient regularization technique in practice... (read more)

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