Uses of Class
org.nd4j.autodiff.listeners.Loss

Packages that use Loss

Package	Description
org.nd4j.autodiff.listeners
org.nd4j.autodiff.listeners.checkpoint
org.nd4j.autodiff.listeners.impl
org.nd4j.autodiff.listeners.profiler
org.nd4j.autodiff.listeners.records
org.nd4j.autodiff.samediff.internal

Uses of Loss in org.nd4j.autodiff.listeners

Methods in org.nd4j.autodiff.listeners that return Loss

Modifier and Type	Method and Description
Loss	Loss.add(Loss other)
static Loss	Loss.add(Loss a, Loss b)
static Loss	Loss.average(List<Loss> losses)
Loss	Loss.copy()
static Loss	Loss.div(Loss a, Number b)
Loss	Loss.div(Number other)
Loss	Loss.minus(Loss other)
Loss	Loss.plus(Loss other)
Loss	Loss.sub(Loss other)
static Loss	Loss.sub(Loss a, Loss b)
static Loss	Loss.sum(List<Loss> losses)

Methods in org.nd4j.autodiff.listeners with parameters of type Loss

Modifier and Type	Method and Description
Loss	Loss.add(Loss other)
static Loss	Loss.add(Loss a, Loss b)
static Loss	Loss.div(Loss a, Number b)
void	BaseListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	Listener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss) Called at the end of every iteration, after all operations (including updating parameters) has been completed
Loss	Loss.minus(Loss other)
Loss	Loss.plus(Loss other)
Loss	Loss.sub(Loss other)
static Loss	Loss.sub(Loss a, Loss b)

Method parameters in org.nd4j.autodiff.listeners with type arguments of type Loss

Modifier and Type	Method and Description
static Loss	Loss.average(List<Loss> losses)
static Loss	Loss.sum(List<Loss> losses)

Uses of Loss in org.nd4j.autodiff.listeners.checkpoint

Methods in org.nd4j.autodiff.listeners.checkpoint with parameters of type Loss

Modifier and Type	Method and Description
void	CheckpointListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)

Uses of Loss in org.nd4j.autodiff.listeners.impl

Methods in org.nd4j.autodiff.listeners.impl with parameters of type Loss

Modifier and Type	Method and Description
void	ScoreListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)
void	UIListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)

Uses of Loss in org.nd4j.autodiff.listeners.profiler

Methods in org.nd4j.autodiff.listeners.profiler with parameters of type Loss

Modifier and Type	Method and Description
void	ProfilingListener.iterationDone(SameDiff sd, At at, MultiDataSet dataSet, Loss loss)

Uses of Loss in org.nd4j.autodiff.listeners.records

Methods in org.nd4j.autodiff.listeners.records that return Loss

Modifier and Type	Method and Description
Loss	LossCurve.lastMeanDelta() Return the loss delta between the last epoch and the one before it.
Loss	LossCurve.lastMeanLoss() Get the mean loss for the last epoch.
Loss	LossCurve.meanLoss(int epoch) Get the mean loss for a given epoch If epoch is negative, counts backwards from the end.

Methods in org.nd4j.autodiff.listeners.records that return types with arguments of type Loss

Modifier and Type	Method and Description
List<Loss>	LossCurve.losses()

Methods in org.nd4j.autodiff.listeners.records with parameters of type Loss

Modifier and Type	Method and Description
LossCurve	LossCurve.addLossAndCopy(Loss loss) Return a new LossCurve with the given losses added on as the most recent epoch

Constructor parameters in org.nd4j.autodiff.listeners.records with type arguments of type Loss

Constructor and Description
LossCurve(List<Loss> losses)

Uses of Loss in org.nd4j.autodiff.samediff.internal

Methods in org.nd4j.autodiff.samediff.internal that return Loss

Modifier and Type	Method and Description
Loss	TrainingSession.trainingIteration(TrainingConfig config, Map<String,INDArray> placeholders, Set<String> paramsToTrain, Map<String,GradientUpdater> updaters, MultiDataSet batch, List<String> lossVariables, List<Listener> listeners, At at) Perform one iteration of training - i.e., do forward and backward passes, and update the parameters