Uses of Package
org.nd4j.linalg.lossfunctions.impl

Packages that use org.nd4j.linalg.lossfunctions.impl

Package	Description
org.nd4j.linalg.lossfunctions.impl

Classes in org.nd4j.linalg.lossfunctions.impl used by org.nd4j.linalg.lossfunctions.impl

Class and Description
LossL1 L1 loss function: i.e., sum of absolute errors, L = sum_i abs(predicted_i - actual_i) See also LossMAE for a mathematically similar loss function (MAE has division by N, where N is output size)
LossL2 L2 loss function: i.e., sum of squared errors, L = sum_i (actual_i - predicted)^2 The L2 loss function is the square of the L2 norm of the difference between actual and predicted.
LossMCXENT Multi-Class Cross Entropy loss function: L = sum_i actual_i * log( predicted_i )
LossMixtureDensity This is a cost function associated with a mixture-density network.
LossMixtureDensity.Builder
LossMixtureDensity.MixtureDensityComponents This class is a data holder for the mixture density components for convenient manipulation.