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Packages that use MonitorPlugin | |
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org.joone.engine | |
org.joone.engine.listeners | |
org.joone.util |
Uses of MonitorPlugin in org.joone.engine |
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Subclasses of MonitorPlugin in org.joone.engine | |
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class |
EKFFFNLearnerPlugin
A plugin listener that implements the EKFFFN learner used to train feed forward neural networks. |
class |
EKFRNNLearnerPlugin
A plugin listener that implements the EKF learner, based on "Some observations on the use of the extended Kalman filter as a recurrent network learning algorithm" by Williams (1992) in order to train a network. |
class |
RTRLLearnerPlugin
A plugin listener that applies the RTRL algorithm to a network. |
Uses of MonitorPlugin in org.joone.engine.listeners |
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Subclasses of MonitorPlugin in org.joone.engine.listeners | |
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class |
ConvergenceObserver
Abstract class for all convergence observer. |
class |
DeltaBasedConvergenceObserver
This observer observes if the network has convergenced based on the size of the weight updates (deltas). |
class |
ErrorBasedConvergenceObserver
This observer observes if the network has convergenced based on the sequence of training errors. |
class |
ErrorBasedTerminator
Stops a network whenever the training error of the network falls below a certain value. |
Uses of MonitorPlugin in org.joone.util |
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Subclasses of MonitorPlugin in org.joone.util | |
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class |
DynamicAnnealing
This plugin controls the change of the learning rate based on the difference between the last two global error (E) values: if E(t) > E(t-1) then LR = LR * (1 - step/100) Note: step/100 because step is inserted as a % value from the user if E(t) <= E(t-1) then LR is unchanged |
class |
GroovyMacroPlugin
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class |
LinearAnnealing
This plugin changes linearly the values of the learning rate and of the momentum parameters. |
class |
MacroPlugin
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class |
SnapshotPlugin
A SnapshotPlugin manages the generation of snapshots of the network's state at regular intervals during its activity. |
class |
SnapshotRecorder
A SnapshotRecorder serves to create and record snapshots of a neural network in a file as a serie of serialized objects graphs. |
class |
WeightWriterPlugin
A class that can be used to write weight values during training to a file in gnuplot format. |
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