Class AdamGradientDescender

Inheritance

Object

GradientDescender

AdamGradientDescender

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: NeuralNetLearning.Maths.GradientDescent

Assembly: NeuralNet.dll

Syntax

public class AdamGradientDescender : GradientDescender

Constructors

AdamGradientDescender()

Declaration

public AdamGradientDescender()

AdamGradientDescender(Double, Double, Double)

Declaration

public AdamGradientDescender(double learningRate = 0.001, double momentumDecay = 0.9, double varianceDecay = 0.999)

Parameters

Type	Name	Description
Double	learningRate
Double	momentumDecay
Double	varianceDecay

Methods

GradientDescentStep(Parameter)

Declaration

public override Parameter GradientDescentStep(Parameter gradient)

Parameters

Type	Name	Description
Parameter	gradient

Returns

Type	Description
Parameter

Overrides

GradientDescender.GradientDescentStep(Parameter)