Class Conv1D

Namespace

NeuralNetworks.Operations.Parameterized

Assembly

NeuralNetworks.dll

public class Conv1D : ParamOperation<float[,,], float[,,], float[,,]>, IParamOperation

Inheritance

object

Operation

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

ParamOperation<float[,,], float[,,]>

ParamOperation<float[,,], float[,,], float[,,]>

Conv1D

Implements

IParamOperation

Inherited Members

ParamOperation<float[,,], float[,,], float[,,]>.Param

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

ParamOperation<float[,,], float[,,], float[,,]>.GetRegularizationLoss()

ParamOperation<float[,,], float[,,], float[,,]>.CalcParamGradient(float[,,])

ParamOperation<float[,,], float[,,], float[,,]>.GetData()

ParamOperation<float[,,], float[,,], float[,,]>.ApplyData(ParamOperationData, int, int)

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

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

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

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

ParamOperation<float[,,], float[,,]>.GetData()

ParamOperation<float[,,], float[,,]>.ApplyData(ParamOperationData, int, int)

ParamOperation<float[,,], float[,,]>.GetRegularizationLoss()

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

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

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

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

Operation.GetOutputType()

Operation.GetInputType()

Operation.Forward(object, bool)

Operation.Backward(object)

Operation.ToString()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Constructors

Conv1D(float[,,], int, int, int, IRegularizer?)

public Conv1D(float[,,] weights, int padding, int stride = 1, int dilatation = 1, IRegularizer? regularizer = null)

Parameters

weights float[,,]

padding int

stride int

dilatation int

regularizer IRegularizer

Methods

CalcInputGradient(float[,,])

Calculates input gradient.

protected override float[,,] CalcInputGradient(float[,,] outputGradient)

Parameters

outputGradient float[,,]

Returns

float[,,]

Remarks

Based on outputGradient, calculates changes in input.

CalcOutput(bool)

Computes output.

protected override float[,,] CalcOutput(bool inference)

Parameters

inference bool

Returns

float[,,]

CalcParamGradient(float[,,])

protected override float[,,] CalcParamGradient(float[,,] outputGradient)

Parameters

outputGradient float[,,]

Returns

float[,,]