Package org.deeplearning4j.nn.conf.dropout

Interface Summary

Interface	Description
DropoutHelper	A helper interface for native dropout implementations
IDropout	IDropout instances operate on an activations array, modifying or dropping values at training time only.

Class Summary

Class	Description
AlphaDropout	AlphaDropout is a dropout technique proposed by Klaumbauer et al.
Dropout	Implements standard (inverted) dropout. Regarding dropout probability.
GaussianDropout	Gaussian dropout.
GaussianNoise	Applies additive, mean-zero Gaussian noise to the input - i.e., x = x + N(0,stddev). Note that this differs from GaussianDropout, which applies multiplicative mean-1 N(1,s) noise. Note also that schedules for the standard deviation value can also be used.
SpatialDropout	Spatial dropout: can only be applied to 3D (time series), 4D (convolutional 2D) or 5D (convolutional 3D) activations.