Uses of Class
org.robovm.apple.mlcompute.MLCLossLayer

Packages that use MLCLossLayer

Package	Description
org.robovm.apple.mlcompute

Uses of MLCLossLayer in org.robovm.apple.mlcompute

Subclasses of MLCLossLayer in org.robovm.apple.mlcompute

Modifier and Type	Class	Description
class	MLCYOLOLossLayer

Methods in org.robovm.apple.mlcompute that return MLCLossLayer

Modifier and Type	Method	Description
static MLCLossLayer	MLCLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	MLCLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createHingeLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createHingeLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, float weight)
static MLCLossLayer	MLCLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, float weight)
static MLCLossLayer	MLCLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, float weight)
static MLCLossLayer	MLCLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)