Uses of Interface
org.nd4j.weightinit.WeightInitScheme

Packages that use WeightInitScheme

Package	Description
org.nd4j.autodiff.samediff
org.nd4j.weightinit
org.nd4j.weightinit.impl

Uses of WeightInitScheme in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type WeightInitScheme

Modifier and Type	Method	Description
SDVariable	SameDiff.var(@NonNull String name, @NonNull VariableType variableType, WeightInitScheme weightInitScheme, DataType dataType, long... shape)	Variable initialization with a specified WeightInitScheme This method creates VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.
SDVariable	SameDiff.var(@NonNull String name, @NonNull LongShapeDescriptor shape, WeightInitScheme weightInitScheme)	Creates a SDVariable with the given shape and name The underlying array will be initialized using the specified weight initilization scheme This is a VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.
SDVariable	SameDiff.var(@NonNull String name, @NonNull WeightInitScheme weightInitScheme, @lombok.NonNull long... shape)	Variable initialization with a specified WeightInitScheme.
SDVariable	SameDiff.var(@NonNull String name, @NonNull WeightInitScheme weightInitScheme, @NonNull DataType dataType, @lombok.NonNull long... shape)	Variable initialization with a specified WeightInitScheme This method creates VARIABLE type SDVariable - i.e., must be floating point, and is a trainable parameter.
SDVariable	SameDiff.var(WeightInitScheme weightInitScheme, DataType dataType, long... shape)	Creates a SDVariable with the specified shape and a generated name.

Uses of WeightInitScheme in org.nd4j.weightinit

Classes in org.nd4j.weightinit that implement WeightInitScheme

Modifier and Type	Class	Description
class	BaseWeightInitScheme

Uses of WeightInitScheme in org.nd4j.weightinit.impl

Classes in org.nd4j.weightinit.impl that implement WeightInitScheme

Modifier and Type	Class	Description
class	ConstantInitScheme	Initialize the weight to zero.
class	DistributionInitScheme	Initialize the weights based on a given Distribution
class	IdentityInitScheme	Initialize the weight to one.
class	LecunUniformInitScheme	Initialize the weight to: randn(shape) //N(0, 2/nIn);
class	NDArraySupplierInitScheme
class	OneInitScheme	Initialize the weight to one.
class	ReluInitScheme	Initialize the weight to: randn(shape) //N(0, 2/nIn);
class	ReluUniformInitScheme	Initialize the weight to: U(-sqrt(6/fanIn), sqrt(6/fanIn)
class	SigmoidUniformInitScheme	Initialize the weight to: range = 4.0 * Math.sqrt(6.0 / (fanIn + fanOut)) U(-range,range)
class	UniformInitScheme	Initialize the weight to: range = 1.0 / Math.sqrt(fanIn) U(-range,range)
class	VarScalingNormalFanAvgInitScheme	Initialize the weight to: U / sqrt((fanin _ fanout) / 2)
class	VarScalingNormalFanInInitScheme	Initialize the weight to: U / fanIn
class	VarScalingNormalFanOutInitScheme	Initialize the weight to: U / sqrt(fanout)
class	VarScalingNormalUniformFanInInitScheme	Initialize the weight to: range = = 3.0 / Math.sqrt(fanIn) U(-range,range)
class	VarScalingNormalUniformFanOutInitScheme	Initialize the weight to: randn(shape) //N(0, 2/nIn);
class	VarScalingUniformFanAvgInitScheme	Initialize the weight to: range = = 3.0 / Math.sqrt((fanIn + fanOut) / 2) U(-range,range)
class	XavierFanInInitScheme	Initialize the weight to: randn(shape) //N(0, 2/nIn);
class	XavierInitScheme	Initialize the weight to: range = = U * sqrt(2.0 / (fanIn + fanOut)
class	XavierUniformInitScheme
class	ZeroInitScheme	Initialize the weight to zero.