Uses of Interface
org.nd4j.linalg.learning.GradientUpdater

Packages that use GradientUpdater

Package	Description
org.nd4j.linalg.learning

Uses of GradientUpdater in org.nd4j.linalg.learning

Classes in org.nd4j.linalg.learning that implement GradientUpdater

Modifier and Type	Class and Description
class	AdaDelta http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf Ada delta updater.
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/
class	Adam The Adam updater.
class	Nesterovs Nesterov's momentum.
class	RmsProp RMS Prop updates: http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf http://cs231n.github.io/neural-networks-3/#ada
class	Sgd

Methods in org.nd4j.linalg.learning that return GradientUpdater

Modifier and Type	Method and Description
GradientUpdater	RmsProp.RmsPropAggregator.getUpdater()
GradientUpdater	Adam.AdamAggregator.getUpdater()
GradientUpdater	AdaGrad.AdaGradAggregator.getUpdater()
GradientUpdater	Nesterovs.NesterovsAggregator.getUpdater()
GradientUpdater	AdaDelta.AdaDeltaAggregator.getUpdater()
GradientUpdater	Sgd.SgdAggregator.getUpdater()
GradientUpdater	GradientUpdaterAggregator.getUpdater() Get the final updater after aggregation

Methods in org.nd4j.linalg.learning with parameters of type GradientUpdater

Modifier and Type	Method and Description
void	RmsProp.RmsPropAggregator.aggregate(GradientUpdater updater)
void	Adam.AdamAggregator.aggregate(GradientUpdater updater)
void	AdaGrad.AdaGradAggregator.aggregate(GradientUpdater updater)
void	Nesterovs.NesterovsAggregator.aggregate(GradientUpdater updater)
void	AdaDelta.AdaDeltaAggregator.aggregate(GradientUpdater updater)
void	Sgd.SgdAggregator.aggregate(GradientUpdater updater)
void	GradientUpdaterAggregator.aggregate(GradientUpdater updater) Add/aggregate a GradientUpdater with this GradientUpdaterAggregator.