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Packages that use NeuralNet | |
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org.joone.engine | |
org.joone.engine.learning | |
org.joone.engine.listeners | |
org.joone.net | |
org.joone.structure | |
org.joone.util |
Uses of NeuralNet in org.joone.engine |
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Fields in org.joone.engine declared as NeuralNet | |
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protected NeuralNet |
RTRLLearnerFactory.network
The neural network trained here |
Methods in org.joone.engine that return NeuralNet | |
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NeuralNet |
NeuralNetEvent.getNeuralNet()
Getter for the NeuralNet generating this event. |
Methods in org.joone.engine with parameters of type NeuralNet | |
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void |
NeuralNetEvent.setNeuralNet(NeuralNet nnet)
Setter for the NeuralNet generating this event. |
Constructors in org.joone.engine with parameters of type NeuralNet | |
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RTRLLearnerFactory(NeuralNet network,
boolean verbose)
Creates a new instance of RTRLLearnerFactory. |
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RTRLLearnerFactory(NeuralNet network,
boolean lineseek,
boolean verbose,
double shockFactor)
Creates a new instance of RTRLLearnerFactory. |
Uses of NeuralNet in org.joone.engine.learning |
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Fields in org.joone.engine.learning declared as NeuralNet | |
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protected NeuralNet |
AbstractTeacherSynapse.net
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Constructors in org.joone.engine.learning with parameters of type NeuralNet | |
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AbstractTeacherSynapse(NeuralNet net)
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Uses of NeuralNet in org.joone.engine.listeners |
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Methods in org.joone.engine.listeners that return NeuralNet | |
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NeuralNet |
DeltaBasedConvergenceObserver.getNeuralNet()
Gets the neural net that is being checked for convergence. |
Methods in org.joone.engine.listeners with parameters of type NeuralNet | |
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void |
DeltaBasedConvergenceObserver.setNeuralNet(NeuralNet aNet)
Sets the neural network to be checked for convergence. |
Uses of NeuralNet in org.joone.net |
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Fields in org.joone.net declared as NeuralNet | |
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(package private) NeuralNet |
NeuralNetLoader.nnet
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Methods in org.joone.net that return NeuralNet | |
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NeuralNet |
NeuralNet.cloneNet()
Creates a copy of the contained neural network |
NeuralNet |
NestedNeuralLayer.getNestedNeuralNet()
Getter for property NestedNeuralNet. |
NeuralNet |
NeuralNetLoader.getNeuralNet()
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NeuralNet |
NeuralNetValidator.getNeuralNet()
Gets the network to validate (or has been validated). |
Methods in org.joone.net with parameters of type NeuralNet | |
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void |
NestedNeuralLayer.setNestedNeuralNet(NeuralNet newNeuralNet)
Setter for property NestedNeuralNet. |
Constructors in org.joone.net with parameters of type NeuralNet | |
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NetChecker(NeuralNet netToCheckArg)
Constructor. |
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NeuralNetValidator(NeuralNet nn)
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NeuralValidationEvent(NeuralNet event)
Creates a new instance of NeuralValidationEvent |
Uses of NeuralNet in org.joone.structure |
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Fields in org.joone.structure declared as NeuralNet | |
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protected NeuralNet |
NetworkAsCFOProblem.network
The network we are optimising here |
Methods in org.joone.structure with parameters of type NeuralNet | |
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void |
Nakayama.addLayers(NeuralNet aNeuralNet)
Adds all the hidden layers to this optimizer. |
protected void |
NodesAndWeights.init(NeuralNet network,
double maximumWeightMagnitude,
boolean reset)
Initialise the underlying parameters and structures. |
Constructors in org.joone.structure with parameters of type NeuralNet | |
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Nakayama(NeuralNet aNet)
Creates a new instance of Nakayama. |
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NetworkAsCFOProblem(NeuralNet network,
boolean includeInitialStates)
Create a new problem based on the network |
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NetworkLayer(NeuralNet network)
Constructor |
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NodesAndWeights(NeuralNet network,
double maximumWeightMagnitude,
boolean reset)
Create a new instance of NodesAndWeights, decomposing the given network into nodes, initial states and attached weights |
Uses of NeuralNet in org.joone.util |
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Fields in org.joone.util declared as NeuralNet | |
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NeuralNet |
NeuralNetRunner.nnet
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Methods in org.joone.util that return NeuralNet | |
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NeuralNet |
MonitorPlugin.getNeuralNet()
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NeuralNet |
NeuralNetRunner.getNnet()
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Methods in org.joone.util with parameters of type NeuralNet | |
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void |
MonitorPlugin.setNeuralNet(NeuralNet neuralNet)
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void |
NeuralNetRunner.setNnet(NeuralNet nnet)
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