Uses of Interface
org.nd4j.weightinit.WeightInitScheme

Packages that use WeightInitScheme

Package	Description
org.nd4j.autodiff.samediff
org.nd4j.linalg.api.ops.impl.layers
org.nd4j.weightinit
org.nd4j.weightinit.impl

Uses of WeightInitScheme in org.nd4j.autodiff.samediff

Fields in org.nd4j.autodiff.samediff declared as WeightInitScheme

Modifier and Type	Field and Description
protected WeightInitScheme	SDVariable.weightInitScheme

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

Modifier and Type	Method and Description
SDVariable	SameDiff.var(String name, int[] shape, WeightInitScheme weightInitScheme) Variable initialization with a specified WeightInitScheme

Uses of WeightInitScheme in org.nd4j.linalg.api.ops.impl.layers

Constructors in org.nd4j.linalg.api.ops.impl.layers with parameters of type WeightInitScheme

Constructor and Description
Linear(int nIn, int nOut, WeightInitScheme weightInitScheme, WeightInitScheme biasWeightInitScheme)
Linear(SameDiff sameDiff, int nIn, int nOut, WeightInitScheme weightInitScheme, WeightInitScheme biasWeightInitScheme)

Uses of WeightInitScheme in org.nd4j.weightinit

Classes in org.nd4j.weightinit that implement WeightInitScheme

Modifier and Type	Class and Description
class	BaseWeightInitScheme Abstract class for WeightInitScheme This handles boilerplate like delegating to the parameters view.

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 Initialize the weight to: //As per Glorot and Bengio 2010: Uniform distribution U(-s,s) with s = sqrt(6/(fanIn + fanOut)) Eq 16: http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
class	ZeroInitScheme Initialize the weight to zero.