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## Uses of Class
org.joone.engine.extenders.LearnerExtender

Packages that use LearnerExtender
org.joone.engine.extenders |

Uses of LearnerExtender in org.joone.engine.extenders

Subclasses of LearnerExtender in org.joone.engine.extenders
`class` | `BatchModeExtender` This class implements the offline learning, that is, batch mode.
`class` | `DeltaRuleExtender` This abstract class describes the methods needed for a delta rule extender, that is, a class that computes / changes the delta (update weight) value according to some algorithm.
`class` | `GradientExtender` This abstract class describes the methods needed for a gradient extender, that is, a class that computes / changes the gradient value according to some algorithm.
`class` | `MomentumExtender` This extender implements the momentum term.
`class` | `OnlineModeExtender` This is the default weight updater (online).
`class` | `RpropExtender` This class changes the delta value in such a way that it implements the RPROP algorithm.
`class` | `SimulatedAnnealingExtender` Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response.
`class` | `UpdateWeightExtender` This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g. batch mode).
`class` | `WeightDecayExtender` Weight decay adds a penalty term to the error function.

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