Uses of Interface
org.nd4j.linalg.learning.config.IUpdater

Packages that use IUpdater

Package	Description
org.nd4j.autodiff.samediff
org.nd4j.linalg.learning
org.nd4j.linalg.learning.config

Uses of IUpdater in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type IUpdater

Modifier and Type	Method	Description
TrainingConfig.Builder	TrainingConfig.Builder.updater(IUpdater updater)	Set the updater (such as Adam, Nesterovs etc.

Constructors in org.nd4j.autodiff.samediff with parameters of type IUpdater

Constructor	Description
TrainingConfig(IUpdater updater, List<Regularization> regularization, boolean minimize, List<String> dataSetFeatureMapping, List<String> dataSetLabelMapping, List<String> dataSetFeatureMaskMapping, List<String> dataSetLabelMaskMapping, List<String> lossVariables, Map<String,List<IEvaluation>> trainEvaluations, Map<String,Integer> trainEvaluationLabels, Map<String,List<IEvaluation>> validationEvaluations, Map<String,Integer> validationEvaluationLabels, DataType initialLossDataType)
TrainingConfig(IUpdater updater, List<Regularization> regularization, boolean minimize, List<String> dataSetFeatureMapping, List<String> dataSetLabelMapping, List<String> dataSetFeatureMaskMapping, List<String> dataSetLabelMaskMapping, List<String> lossVariables, DataType initialLossDataType)	Create a training configuration suitable for training both single input/output and multi input/output networks. See also the TrainingConfig.Builder for creating a TrainingConfig
TrainingConfig(IUpdater updater, List<Regularization> regularization, String dataSetFeatureMapping, String dataSetLabelMapping)	Create a training configuration suitable for training a single input, single output network. See also the TrainingConfig.Builder for creating a TrainingConfig

Uses of IUpdater in org.nd4j.linalg.learning

Classes in org.nd4j.linalg.learning with type parameters of type IUpdater

Modifier and Type	Interface	Description
interface	GradientUpdater<T extends IUpdater>

Uses of IUpdater in org.nd4j.linalg.learning.config

Classes in org.nd4j.linalg.learning.config that implement IUpdater

Modifier and Type	Class	Description
class	AdaBelief	AdaBelief https://arxiv.org/pdf/2010.07468.pdf
class	AdaDelta
class	AdaGrad
class	Adam	The Adam updater.
class	AdaMax	The AdaMax updater, a variant of Adam.
class	AMSGrad
class	Nadam
class	Nesterovs
class	NoOp
class	RmsProp
class	Sgd	SGD updater applies a learning rate only

Methods in org.nd4j.linalg.learning.config that return IUpdater

Modifier and Type	Method	Description
IUpdater	AdaMax.clone()
IUpdater	IUpdater.clone()	Clone the updater