|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
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. |
class |
WeightDecayExtender
Weight decay adds a penalty term to the error function. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |