Uses of Interface
org.deeplearning4j.nn.api.layers.LayerConstraint

Packages that use LayerConstraint

Package	Description
org.deeplearning4j.nn.api.layers
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.constraint
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.transferlearning

Uses of LayerConstraint in org.deeplearning4j.nn.api.layers

Methods in org.deeplearning4j.nn.api.layers that return LayerConstraint

Modifier and Type	Method and Description
LayerConstraint	LayerConstraint.clone()

Uses of LayerConstraint in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf with type parameters of type LayerConstraint

Modifier and Type	Field and Description
protected List<LayerConstraint>	NeuralNetConfiguration.Builder.allParamConstraints
protected List<LayerConstraint>	NeuralNetConfiguration.Builder.biasConstraints
protected List<LayerConstraint>	NeuralNetConfiguration.Builder.weightConstraints

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

Modifier and Type	Method and Description
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.constrainAllParameters(LayerConstraint... constraints) Set constraints to be applied to all layers.
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.constrainBias(LayerConstraint... constraints) Set constraints to be applied to all layers.
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.constrainWeights(LayerConstraint... constraints) Set constraints to be applied to all layers.

Uses of LayerConstraint in org.deeplearning4j.nn.conf.constraint

Classes in org.deeplearning4j.nn.conf.constraint that implement LayerConstraint

Modifier and Type	Class and Description
class	BaseConstraint
class	MaxNormConstraint Constrain the maximum L2 norm of the incoming weights for each unit to be less than or equal to the specified value.
class	MinMaxNormConstraint Constrain the minimum AND maximum L2 norm of the incoming weights for each unit to be between the specified values.
class	NonNegativeConstraint Constrain the weights to be non-negative
class	UnitNormConstraint Constrain the L2 norm of the incoming weights for each unit to be 1.0

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

Fields in org.deeplearning4j.nn.conf.layers with type parameters of type LayerConstraint

Modifier and Type	Field and Description
protected List<LayerConstraint>	Layer.Builder.allParamConstraints
protected List<LayerConstraint>	BatchNormalization.Builder.betaConstraints
protected List<LayerConstraint>	Layer.Builder.biasConstraints
protected List<LayerConstraint>	Layer.constraints
protected List<LayerConstraint>	BatchNormalization.Builder.gammaConstraints
protected List<LayerConstraint>	BaseRecurrentLayer.Builder.inputWeightConstraints
protected List<LayerConstraint>	SeparableConvolution2D.Builder.pointWiseConstraints
protected List<LayerConstraint>	BaseRecurrentLayer.Builder.recurrentConstraints
protected List<LayerConstraint>	Layer.Builder.weightConstraints

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

Modifier and Type	Method and Description
T	Layer.Builder.constrainAllParameters(LayerConstraint... constraints) Set constraints to be applied to this layer.
BatchNormalization.Builder	BatchNormalization.Builder.constrainBeta(LayerConstraint... constraints) Set constraints to be applied to the beta parameter of this batch normalisation layer.
T	Layer.Builder.constrainBias(LayerConstraint... constraints) Set constraints to be applied to bias parameters of this layer.
BatchNormalization.Builder	BatchNormalization.Builder.constrainGamma(LayerConstraint... constraints) Set constraints to be applied to the gamma parameter of this batch normalisation layer.
T	BaseRecurrentLayer.Builder.constrainInputWeights(LayerConstraint... constraints) Set constraints to be applied to the RNN input weight parameters of this layer.
SeparableConvolution2D.Builder	SeparableConvolution2D.Builder.constrainPointWise(LayerConstraint... constraints) Set constraints to be applied to the point-wise convolution weight parameters of this layer.
T	BaseRecurrentLayer.Builder.constrainRecurrent(LayerConstraint... constraints) Set constraints to be applied to the RNN recurrent weight parameters of this layer.
T	Layer.Builder.constrainWeights(LayerConstraint... constraints) Set constraints to be applied to the weight parameters of this layer.

Method parameters in org.deeplearning4j.nn.conf.layers with type arguments of type LayerConstraint

Modifier and Type	Method and Description
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)
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)
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)

Uses of LayerConstraint in org.deeplearning4j.nn.conf.layers.misc

Method parameters in org.deeplearning4j.nn.conf.layers.misc with type arguments of type LayerConstraint

Modifier and Type	Method and Description
void	FrozenLayerWithBackprop.setConstraints(List<LayerConstraint> constraints)
void	FrozenLayer.setConstraints(List<LayerConstraint> constraints)

Uses of LayerConstraint in org.deeplearning4j.nn.transferlearning

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

Modifier and Type	Field and Description
protected org.nd4j.linalg.primitives.Optional<List<LayerConstraint>>	FineTuneConfiguration.constraints

Method parameters in org.deeplearning4j.nn.transferlearning with type arguments of type LayerConstraint

Modifier and Type	Method and Description
FineTuneConfiguration.Builder	FineTuneConfiguration.Builder.constraints(List<LayerConstraint> constraints) Set constraints to be applied to all layers.