LossLayer

Namespace: Models

A layer that calculates the loss between predictions and targets using a difference metric.

Nested types and modules

Type	Description
Measures	Difference metrics.

Function or value	Description
`loss lm pred target` Signature: lm:Measures -> pred:ExprT -> target:ExprT -> ExprT	Returns an expression for the loss given the loss measure `lm`, the predictions `pred` and the target values `target`. If the multi-class cross entropy loss measure is used then pred.[smpl, cls] must be the predicted probability that the sample belong to class cls and target.[smpl, cls] must be 1 if the sample actually belongs to class cls and 0 otherwise.