LAUSR

Continuous Dropout

Sign Up to like & get
recommendations!
0 Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2750679

Abstract: Dropout has been proven to be an effective algorithm for training robust deep networks because of its ability to prevent overfitting by avoiding the co-adaptation of feature detectors. Current explanations of dropout include bagging, naive… read more here.

Keywords: feature detectors; dropout; adaptation feature; continuous dropout ... See more keywords