Uses of Interface
org.deeplearning4j.nn.conf.dropout.IDropout

Packages that use IDropout

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.dropout
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.transferlearning

Uses of IDropout in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as IDropout

Modifier and Type	Field and Description
protected IDropout	NeuralNetConfiguration.Builder.idropOut

Methods in org.deeplearning4j.nn.conf with parameters of type IDropout

Modifier and Type	Method and Description
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.dropOut(IDropout dropout) Set the dropout for all layers in this network Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.

Uses of IDropout in org.deeplearning4j.nn.conf.dropout

Classes in org.deeplearning4j.nn.conf.dropout that implement IDropout

Modifier and Type	Class and Description
class	AlphaDropout AlphaDropout is a dropout technique proposed by Klaumbauer et al.
class	Dropout Implements standard (inverted) dropout. Regarding dropout probability.
class	GaussianDropout Gaussian dropout.
class	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.
class	SpatialDropout Spatial dropout: can only be applied to 4D (convolutional) activations.

Methods in org.deeplearning4j.nn.conf.dropout that return IDropout

Modifier and Type	Method and Description
IDropout	IDropout.clone()
IDropout	GaussianNoise.clone()
IDropout	SpatialDropout.clone()

Uses of IDropout in org.deeplearning4j.nn.conf.layers

Fields in org.deeplearning4j.nn.conf.layers declared as IDropout

Modifier and Type	Field and Description
protected IDropout	Layer.iDropout
protected IDropout	Layer.Builder.iDropout

Methods in org.deeplearning4j.nn.conf.layers with parameters of type IDropout

Modifier and Type	Method and Description
T	Layer.Builder.dropOut(IDropout dropout) Set the dropout for all layers in this network
static void	LayerValidation.generalValidation(String layerName, Layer layer, IDropout iDropout, double l2, double l2Bias, double l1, double l1Bias, Distribution dist, List<LayerConstraint> allParamConstraints, List<LayerConstraint> weightConstraints, List<LayerConstraint> biasConstraints)
static void	LayerValidation.generalValidation(String layerName, Layer layer, IDropout iDropOut, Double l2, Double l2Bias, Double l1, Double l1Bias, Distribution dist, List<LayerConstraint> allParamConstraints, List<LayerConstraint> weightConstraints, List<LayerConstraint> biasConstraints)

Constructors in org.deeplearning4j.nn.conf.layers with parameters of type IDropout

Constructor and Description
Builder(IDropout dropout)

Uses of IDropout in org.deeplearning4j.nn.transferlearning

Fields in org.deeplearning4j.nn.transferlearning with type parameters of type IDropout

Modifier and Type	Field and Description
protected org.nd4j.linalg.primitives.Optional<IDropout>	FineTuneConfiguration.dropout

Methods in org.deeplearning4j.nn.transferlearning with parameters of type IDropout

Modifier and Type	Method and Description
FineTuneConfiguration.Builder	FineTuneConfiguration.Builder.dropout(IDropout dropout) Set the dropout