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 and 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 and Description
TrainingConfig(IUpdater updater, List<Regularization> regularization, boolean minimize, List<String> dataSetFeatureMapping, List<String> dataSetLabelMapping, List<String> dataSetFeatureMaskMapping, List<String> dataSetLabelMaskMapping, List<String> lossVariables) 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, 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)
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 and Description
interface	GradientUpdater<T extends IUpdater> Gradient modifications: Calculates an update and tracks related information for gradient changes over time for handling updates.

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

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

Modifier and Type	Class and Description
class	AdaDelta https://www.matthewzeiler.com/mattzeiler/adadelta.pdf https://arxiv.org/pdf/1212.5701v1.pdf
class	AdaGrad Vectorized Learning Rate used per Connection Weight Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/ See also http://cs231n.github.io/neural-networks-3/#ada
class	Adam The Adam updater.
class	AdaMax The AdaMax updater, a variant of Adam.
class	AMSGrad The AMSGrad updater Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
class	Nadam Setup and DynamicCustomOpsBuilder for Nadam updater.
class	Nesterovs Nesterov's momentum.
class	NoOp NoOp updater: gradient updater that makes no changes to the gradient
class	RmsProp RMS Prop updates:
class	Sgd SGD updater applies a learning rate only

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

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