Class MaxPooling1DLayer

Namespace

NeuralNetworks.Layers

Assembly

NeuralNetworks.dll

public class MaxPooling1DLayer : Layer<float[,,], float[,,]>

Inheritance

object

Layer

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

MaxPooling1DLayer

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[,,]>.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

MaxPooling1DLayer(int)

public MaxPooling1DLayer(int size)

Parameters

size int

Methods

CreateOperationListBuilder()

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

Returns

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

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.