Package | Description |
---|---|
org.joone.engine | |
org.joone.engine.learning | |
org.joone.engine.listeners | |
org.joone.net | |
org.joone.structure | |
org.joone.util |
Modifier and Type | Field and Description |
---|---|
protected NeuralNet |
RTRLLearnerFactory.network
The neural network trained here
|
Modifier and Type | Method and Description |
---|---|
NeuralNet |
NeuralNetEvent.getNeuralNet()
Getter for the NeuralNet generating this event.
|
Modifier and Type | Method and Description |
---|---|
void |
NeuralNetEvent.setNeuralNet(NeuralNet nnet)
Setter for the NeuralNet generating this event.
|
Constructor and Description |
---|
RTRLLearnerFactory(NeuralNet network,
boolean verbose)
Creates a new instance of RTRLLearnerFactory.
|
RTRLLearnerFactory(NeuralNet network,
boolean lineseek,
boolean verbose,
double shockFactor)
Creates a new instance of RTRLLearnerFactory.
|
Modifier and Type | Field and Description |
---|---|
protected NeuralNet |
AbstractTeacherSynapse.net |
Constructor and Description |
---|
AbstractTeacherSynapse(NeuralNet net) |
Modifier and Type | Method and Description |
---|---|
NeuralNet |
DeltaBasedConvergenceObserver.getNeuralNet()
Gets the neural net that is being checked for convergence.
|
Modifier and Type | Method and Description |
---|---|
void |
DeltaBasedConvergenceObserver.setNeuralNet(NeuralNet aNet)
Sets the neural network to be checked for convergence.
|
Modifier and Type | Field and Description |
---|---|
(package private) NeuralNet |
NeuralNetLoader.nnet |
Modifier and Type | Method and Description |
---|---|
NeuralNet |
NeuralNet.cloneNet()
Creates a copy of the contained neural network
|
NeuralNet |
NestedNeuralLayer.getNestedNeuralNet()
Getter for property NestedNeuralNet.
|
NeuralNet |
NeuralNetLoader.getNeuralNet() |
NeuralNet |
NeuralNetValidator.getNeuralNet()
Gets the network to validate (or has been validated).
|
Modifier and Type | Method and Description |
---|---|
void |
NestedNeuralLayer.setNestedNeuralNet(NeuralNet newNeuralNet)
Setter for property NestedNeuralNet.
|
Constructor and Description |
---|
NetChecker(NeuralNet netToCheckArg)
Constructor.
|
NeuralNetValidator(NeuralNet nn) |
NeuralValidationEvent(NeuralNet event)
Creates a new instance of NeuralValidationEvent
|
Modifier and Type | Field and Description |
---|---|
protected NeuralNet |
NetworkAsCFOProblem.network
The network we are optimising here
|
Modifier and Type | Method and Description |
---|---|
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.
|
Constructor and Description |
---|
Nakayama(NeuralNet aNet)
Creates a new instance of Nakayama.
|
NetworkAsCFOProblem(NeuralNet network,
boolean includeInitialStates)
Create a new problem based on the network
|
NetworkLayer(NeuralNet network)
Constructor
|
NodesAndWeights(NeuralNet network,
double maximumWeightMagnitude,
boolean reset)
Create a new instance of NodesAndWeights, decomposing the given network
into nodes, initial states and attached weights
|
Modifier and Type | Field and Description |
---|---|
NeuralNet |
NeuralNetRunner.nnet |
Modifier and Type | Method and Description |
---|---|
NeuralNet |
MonitorPlugin.getNeuralNet() |
NeuralNet |
NeuralNetRunner.getNnet() |
Modifier and Type | Method and Description |
---|---|
void |
MonitorPlugin.setNeuralNet(NeuralNet neuralNet) |
void |
NeuralNetRunner.setNnet(NeuralNet nnet) |
Submit Feedback to pmarrone@users.sourceforge.net