Class Operation<TIn, TOut>

Namespace

NeuralNetworks.Operations

Assembly

NeuralNetworks.dll

Base class for an "operation" in a neural network.

public abstract class Operation<TIn, TOut> : Operation where TIn : notnull where TOut : notnull

Type Parameters

TIn

TOut

Inheritance

object

Operation

Operation<TIn, TOut>

Derived

ActivationFunction<TIn, TOut>

BaseDropout<T>

ParamOperation<TIn, TOut>

Flatten

Inherited Members

Operation.SetRegistered()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

Input

protected TIn Input { get; }

Property Value

TIn

Output

protected TOut Output { get; }

Property Value

TOut

Methods

Backward(object)

public override object Backward(object outputGradient)

Parameters

outputGradient object

Returns

object

Backward(TOut)

Converts output gradient to input gradient.

public virtual TIn Backward(TOut outputGradient)

Parameters

outputGradient TOut

Returns

TIn

CalcInputGradient(TOut)

Calculates input gradient.

protected abstract TIn CalcInputGradient(TOut outputGradient)

Parameters

outputGradient TOut

Returns

TIn

Remarks

Based on outputGradient, calculates changes in input.

CalcOutput(bool)

Computes output.

protected abstract TOut CalcOutput(bool inference)

Parameters

inference bool

Returns

TOut

Forward(object, bool)

public override object Forward(object input, bool inference)

Parameters

input object

inference bool

Returns

object

Forward(TIn, bool)

Converts input to output.

public virtual TOut Forward(TIn input, bool inference)

Parameters

input TIn

inference bool

Returns

TOut

GetInputType()

public override Type GetInputType()

Returns

Type

GetOutputType()

public override Type GetOutputType()

Returns

Type