Uses of Class
org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder

Packages that use AbstractSameDiffLayer.Builder

Package	Description
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.samediff

Uses of AbstractSameDiffLayer.Builder in org.deeplearning4j.nn.conf.layers

Subclasses of AbstractSameDiffLayer.Builder in org.deeplearning4j.nn.conf.layers

Modifier and Type	Class	Description
static class	CapsuleLayer.Builder
static class	CapsuleStrengthLayer.Builder
static class	LearnedSelfAttentionLayer.Builder
static class	LocallyConnected1D.Builder
static class	LocallyConnected2D.Builder
static class	PrimaryCapsules.Builder
static class	RecurrentAttentionLayer.Builder
static class	SelfAttentionLayer.Builder

Uses of AbstractSameDiffLayer.Builder in org.deeplearning4j.nn.conf.layers.samediff

Classes in org.deeplearning4j.nn.conf.layers.samediff with type parameters of type AbstractSameDiffLayer.Builder

Modifier and Type	Class	Description
static class	AbstractSameDiffLayer.Builder<T extends AbstractSameDiffLayer.Builder<T>>

Subclasses of AbstractSameDiffLayer.Builder in org.deeplearning4j.nn.conf.layers.samediff

Modifier and Type	Class	Description
static class	SameDiffLayer.Builder<T extends SameDiffLayer.Builder<T>>

Methods in org.deeplearning4j.nn.conf.layers.samediff that return AbstractSameDiffLayer.Builder

Modifier and Type	Method	Description
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.regularization(List<Regularization> regularization)	Set the regularization for the parameters (excluding biases) - for example WeightDecay
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.regularizationBias(List<Regularization> regularizationBias)	Set the regularization for the biases only - for example WeightDecay
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.weightDecay(double coefficient)	Add weight decay regularization for the network parameters (excluding biases). This applies weight decay with multiplying the learning rate - see WeightDecay for more details.
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.weightDecay(double coefficient, boolean applyLR)	Add weight decay regularization for the network parameters (excluding biases).
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.weightDecayBias(double coefficient)	Weight decay for the biases only - see weightDecay(double) for more details.
AbstractSameDiffLayer.Builder	AbstractSameDiffLayer.Builder.weightDecayBias(double coefficient, boolean applyLR)	Weight decay for the biases only - see weightDecay(double) for more details

Constructors in org.deeplearning4j.nn.conf.layers.samediff with parameters of type AbstractSameDiffLayer.Builder

Constructor	Description
AbstractSameDiffLayer(AbstractSameDiffLayer.Builder builder)