Class ParamOperation2D

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

public abstract class ParamOperation2D : Operation2D

Inheritance

object

Operation

Operation<float[,], float[,]>

Operation2D

ParamOperation2D

Derived

ParamOperation2D<TParam>

Inherited Members

Operation2D.EnsureSameShapeForInput(float[,], float[,])

Operation2D.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.Input

Operation<float[,], float[,]>.Output

Operation<float[,], float[,]>.Forward(float[,], bool)

Operation<float[,], float[,]>.Backward(float[,])

Operation<float[,], float[,]>.EnsureSameShapeForInput(float[,], float[,])

Operation<float[,], float[,]>.EnsureSameShapeForOutput(float[,], float[,])

Operation<float[,], float[,]>.CalcOutput(bool)

Operation<float[,], float[,]>.CalcInputGradient(float[,])

Operation<float[,], float[,]>.Forward(object, bool)

Operation<float[,], float[,]>.Backward(object)

Operation<float[,], float[,]>.GetOutputType()

Operation<float[,], float[,]>.GetInputType()

Operation<float[,], float[,]>.CloneBase()

Operation<float[,], float[,]>.Clone()

Operation.SetRegistered()

Operation.GetOutputType()

Operation.GetInputType()

Operation.Forward(object, bool)

Operation.Backward(object)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

GetParamCount()

public abstract int GetParamCount()

Returns

int

UpdateParams(Layer?, Optimizer)

public abstract void UpdateParams(Layer? layer, Optimizer optimizer)

Parameters

layer Layer

optimizer Optimizer