Class Optimizer

Namespace

NeuralNetworks.Optimizers

Assembly

NeuralNetworks.dll

Base class for a neural network optimizer.

public abstract class Optimizer

Inheritance

object

Optimizer

Derived

AdamOptimizer

GradientDescentMomentumOptimizer

GradientDescentOptimizer

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

Optimizer(LearningRate)

Base class for a neural network optimizer.

protected Optimizer(LearningRate learningRate)

Parameters

learningRate LearningRate

Properties

LearningRate

public LearningRate LearningRate { get; }

Property Value

LearningRate

Methods

Update(Layer?, float[,,,], float[,,,])

public abstract void Update(Layer? layer, float[,,,] param, float[,,,] paramGradient)

Parameters

layer Layer

param float[,,,]

paramGradient float[,,,]

Update(Layer?, float[,], float[,])

public abstract void Update(Layer? layer, float[,] param, float[,] paramGradient)

Parameters

layer Layer

param float[,]

paramGradient float[,]

Update(Layer?, float[], float[])

public abstract void Update(Layer? layer, float[] param, float[] paramGradient)

Parameters

layer Layer

param float[]

paramGradient float[]

UpdateLearningRate(int, int)

public virtual void UpdateLearningRate(int epoch, int epochs)

Parameters

epoch int

epochs int