Uses of Class
org.nd4j.autodiff.loss.LossInfo

Packages that use LossInfo

Package	Description
org.nd4j.autodiff.loss

Uses of LossInfo in org.nd4j.autodiff.loss

Methods in org.nd4j.autodiff.loss that return LossInfo

Modifier and Type	Method and Description
static LossInfo	LossFunctions.l1(String outputName, SDVariable predictions, SDVariable label, SDVariable weights, LossFunctions.Reduction reduction, int... dimensions) L1 loss - sum of absolute errors.
static LossInfo	LossFunctions.l2(String outputName, SDVariable predictions, SDVariable label, SDVariable weights, LossFunctions.Reduction reduction, int... dimensions) L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2
static LossInfo	LossFunctions.mcxent(String outputName, SDVariable predictions, SDVariable label, SDVariable weights, LossFunctions.Reduction reduction, int... dimensions) Multi-Class Cross Entropy loss function: L = sum_i actual_i * log( predicted_i )
static LossInfo	LossFunctions.mse(String outputName, SDVariable predictions, SDVariable label, SDVariable weights, LossFunctions.Reduction reduction, int... dimensions) Mean squared error: L = mean( (predicted - label)^2)
static LossInfo	LossFunctions.negativeLogLikelihood(String outputName, SDVariable predictions, SDVariable label, SDVariable weights, LossFunctions.Reduction reduction, int... dimensions)