Method | Description | |
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IsValidResume ( TrainingContinuation state ) : bool |
Determine if the specified continuation object is valid to resume with.
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Pause ( ) : TrainingContinuation |
Pause the training.
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QuickPropagation ( IContainsFlat network, IMLDataSet training ) : System |
Construct a QPROP trainer for flat networks. Uses a learning rate of 2.
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QuickPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : System |
Construct a QPROP trainer for flat networks.
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Resume ( TrainingContinuation state ) : void |
Resume training.
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public IsValidResume ( TrainingContinuation state ) : bool | ||
state | TrainingContinuation | The continuation object to check. |
return | bool |
public QuickPropagation ( IContainsFlat network, IMLDataSet training ) : System | ||
network | IContainsFlat | The network to train. |
training | IMLDataSet | The training data. |
return | System |
public QuickPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : System | ||
network | IContainsFlat | The network to train. |
training | IMLDataSet | The training data. |
learnRate | double | The learning rate. 2 is a good suggestion as /// a learning rate to start with. If it fails to converge, /// then drop it. Just like backprop, except QPROP can /// take higher learning rates. |
return | System |
public Resume ( TrainingContinuation state ) : void | ||
state | TrainingContinuation | The training state to return to. |
return | void |