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 and Description
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 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 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 WeightInitScheme weightInitScheme, long... shape) Variable initialization with a specified WeightInitScheme.
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 and Description
class	BaseWeightInitScheme

Uses of WeightInitScheme in org.nd4j.weightinit.impl

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

Modifier and Type	Class and 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.