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Class Exp

Exponential activation function which returns simple exp(x)

Inheritance
System.Object
BaseLayer
Exp
Inherited Members
BaseLayer.Params
BaseLayer.Input
BaseLayer.Output
BaseLayer.Name
BaseLayer.SkipPred
BaseLayer.Item[String]
BaseLayer.BuildParam(String, Int64[], DataType, BaseInitializer, BaseConstraint, BaseRegularizer, Boolean)
Namespace: SiaNet.Layers.Activations
Assembly: SiaNet.dll
Syntax
public class Exp : BaseLayer

Constructors

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Exp()

Initializes a new instance of the Exp class.

Declaration
public Exp()

Methods

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Backward(Tensor)

Calculate the gradient of this layer function

Declaration
public override void Backward(Tensor outputgrad)
Parameters
Type Name Description
Tensor outputgrad

The calculated output grad from previous layer.

Overrides
BaseLayer.Backward(Tensor)
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Forward(Tensor)

Forwards the inputs and compute the output

Declaration
public override void Forward(Tensor x)
Parameters
Type Name Description
Tensor x

The input tensor for this layer.

Overrides
BaseLayer.Forward(Tensor)

See Also

BaseLayer
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