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Class Softmax

Softmax function calculates the probabilities distribution of the event over ‘n’ different events. In general way of saying, this function will calculate the probabilities of each target class over all possible target classes. Later the calculated probabilities will be helpful for determining the target class for the given inputs.

Inheritance
System.Object
BaseLayer
Softmax
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 Softmax : BaseLayer

Constructors

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Softmax()

Initializes a new instance of the Softmax class.

Declaration
public Softmax()

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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