Package org.nd4j.linalg.lossfunctions
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Interface Summary Interface Description ILossFunction -
Class Summary Class Description LossFunctions LossUtil SameDiffLoss -
Enum Summary Enum Description LossFunctions.LossFunction MSE: Mean Squared Error: Linear Regression -LossMSE
l1: L1 loss (absolute value) -LossL1
XENT: Cross Entropy: Binary Classification -LossBinaryXENT
MCXENT: Multiclass Cross Entropy -LossMCXENT
SPARSE_MCXENT: Sparse multi-class cross entropy -LossSparseMCXENT
SQUARED_LOSS: Alias for mean squared error -LossMSE
NEGATIVELOGLIKELIHOOD: Negative Log Likelihood -LossNegativeLogLikelihood
COSINE_PROXIMITY: Cosine proximity loss -LossCosineProximity
HINGE: Hinge loss -LossHinge
SQUARED_HINGE: Squared hinge loss -LossSquaredHinge
KL_DIVERGENCE: Kullback-Leibler divergence loss -LossKLD
MEAN_ABSOLUTE_ERROR: mean absolute error loss -LossMAE
L2: L2 loss (sum of squared errors) -LossL2
MEAN_ABSOLUTE_PERCENTAGE_ERROR: MAPE loss -LossMAPE
MEAN_SQUARED_LOGARITHMIC_ERROR: MSLE loss -LossMSLE
POISSON: Poisson loss -LossPoisson
WASSERSTEIN: Wasserstein loss -LossWasserstein