Method | Description | |
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TrainFlatNetworkManhattan ( |
Construct a trainer for flat networks to use the Manhattan update rule.
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UpdateWeight ( double gradients, double lastGradient, int index ) : double |
Calculate the amount to change the weight by.
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public TrainFlatNetworkManhattan ( |
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network | The network to train. | |
training | IEngineDataSet | The training data to use. |
learningRate | double | The learning rate to use. |
return | Encog.Engine.Data |
public UpdateWeight ( double gradients, double lastGradient, int index ) : double | ||
gradients | double | The gradients. |
lastGradient | double | The last gradients. |
index | int | The index to update. |
return | double |