Class Conv2DLayer

Namespace

NeuralNetworks.Layers

Assembly

NeuralNetworks.dll

public class Conv2DLayer : Layer<float[,,,], float[,,,]>

Inheritance

object

Layer

Layer<float[,,,], float[,,,]>

Conv2DLayer

Inherited Members

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

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

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

Layer<float[,,,], float[,,,]>.UpdateParams(Optimizer)

Layer<float[,,,], float[,,,]>.CreateOperationListBuilder()

Layer<float[,,,], float[,,,]>.SetupLayer()

Layer<float[,,,], float[,,,]>.AddOperation<TOpOut>(Operation<float[,,,], TOpOut>)

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

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

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

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

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

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

Layer<float[,,,], float[,,,]>.GetParamCount()

Layer.SetRegistered()

Layer.GetOutputType()

Layer.GetInputType()

Layer.Forward(object, bool)

Layer.Backward(object)

Layer.UpdateParams(Optimizer)

Layer.GetParamCount()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Constructors

Conv2DLayer(int, int, ActivationFunction4D, ParamInitializer, Dropout4D?)

public Conv2DLayer(int filters, int kernelSize, ActivationFunction4D activationFunction, ParamInitializer paramInitializer, Dropout4D? dropout = null)

Parameters

filters int

kernelSize int

activationFunction ActivationFunction4D

paramInitializer ParamInitializer

dropout Dropout4D

Methods

CreateOperationListBuilder()

public override OperationListBuilder<float[,,,], float[,,,]> CreateOperationListBuilder()

Returns

OperationListBuilder<float[,,,], float[,,,]>

EnsureSameShapeForInput(float[,,,]?, float[,,,]?)

protected override void EnsureSameShapeForInput(float[,,,]? input, float[,,,]? inputGradient)

Parameters

input float[,,,]

inputGradient float[,,,]

EnsureSameShapeForOutput(float[,,,]?, float[,,,]?)

protected override void EnsureSameShapeForOutput(float[,,,]? output, float[,,,]? outputGradient)

Parameters

output float[,,,]

outputGradient float[,,,]

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.