Uses of Interface
deepnetts.net.train.TrainingListener

Packages that use TrainingListener

Package	Description
deepnetts.automl	Support for automatically building deep learning models using hyper-parameter search.
deepnetts.net.train	Training algorithms and related utilities.
deepnetts.net.train.opt	Optimization methods used by training algorithm.

Uses of TrainingListener in deepnetts.automl

Methods in deepnetts.automl with parameters of type TrainingListener

Modifier and Type	Method	Description
HyperParameterSearch	HyperParameterSearch.trainingListener(TrainingListener trainingListener)

Uses of TrainingListener in deepnetts.net.train

Methods in deepnetts.net.train that return TrainingListener

Modifier and Type	Method	Description
TrainingListener	KFoldCrossValidation.getTrainingListener()

Methods in deepnetts.net.train with parameters of type TrainingListener

Modifier and Type	Method	Description
void	BackpropagationTrainer.addListener(TrainingListener listener)	Adds training listener to this trainer.
void	BackpropagationTrainer.removeListener(TrainingListener listener)	Removes training listener from this trainer.
KFoldCrossValidation.Builder	KFoldCrossValidation.Builder.trainingListener(TrainingListener trainingListener)

Uses of TrainingListener in deepnetts.net.train.opt

Classes in deepnetts.net.train.opt that implement TrainingListener

Modifier and Type	Class	Description
final class	AdaDeltaOptimizer	Implementation of ADADELTA Optimizer which is a modification od invalid reference AdaGrad that uses only a limited window or previous gradients.
final class	AdamOptimizer	Implementation of Adam optimizer which is a variation of RmsProp which includes momentum-like factor.
final class	LearningRateDecay	https://www.coursera.org/learn/deep-neural-network/lecture/hjgIA/learning-rate-decay