Class CategorialHinge

The categorical cross-entropy loss (negative log likelihood) is used when a probabilistic interpretation of the scores is desired.

Inheritance
System.Object
BaseLoss
CategorialHinge
Inherited Members
Namespace: SiaNet.Losses
Assembly: SiaNet.dll
Syntax
public class CategorialHinge : BaseLoss

Constructors

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CategorialHinge()

Initializes a new instance of the CategorialHinge class.

Declaration
public CategorialHinge()

Methods

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Backward(Tensor, Tensor)

Backpropagation method to calculate gradient of the loss function

Declaration
public override Tensor Backward(Tensor preds, Tensor labels)
Parameters
Type Name Description
Tensor preds

The predicted result.
Tensor labels

The true result.
Returns
Type Description
Tensor
Overrides
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Forward(Tensor, Tensor)

Forwards the inputs and calculate the loss.

Declaration
public override Tensor Forward(Tensor preds, Tensor labels)
Parameters
Type Name Description
Tensor preds

The predicted result.
Tensor labels

The true result.
Returns
Type Description
Tensor
Overrides

See Also