Class DenseLayer

Namespace

NeuralNetworks.Layers

Assembly

NeuralNetworks.dll

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

Inheritance

object

Layer

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

DenseLayer

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

DenseLayer(int, ActivationFunction<float[,], float[,]>, ParamInitializer, BaseDropout<float[,]>?)

public DenseLayer(int neurons, ActivationFunction<float[,], float[,]> activationFunction, ParamInitializer paramInitializer, BaseDropout<float[,]>? dropout = null)

Parameters

neurons int

activationFunction ActivationFunction<float[,], float[,]>

paramInitializer ParamInitializer

dropout BaseDropout<float[,]>

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.