Max-Pooling Dropout for Regularization of Convolutional Neural Networks

• Published in: Neural Information Processing Vol. 9489; pp. 46 - 54
• Main Authors: Wu, Haibing, Gu, Xiaodong
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2015; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Convolutional neural network; Deep learning; Max-pooling dropout; Pattern recognition

Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking ac...