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Uses of Class
AI.NeuralNetworks.FeedForwardLayer
Uses of FeedForwardLayer in AI.NeuralNetworks |
Subclasses of FeedForwardLayer in AI.NeuralNetworks | |
class |
DistributedFeedForwardWeightedTrainingLayer
This class is used to represent the inner and output layers of a multilayer feed forward neural network |
class |
FeedForwardInputLayer
This class is used to represent the first layer of a multilayer feed forward neural network |
class |
FeedForwardWeightedLayer
This class is used to represent the inner and output layers of a multilayer feed forward neural network |
class |
FeedForwardWeightedTrainingLayer
This class is used to represent the inner and output layers of a multilayer feed forward neural network where the back error propabation algorithm is run |
Methods in AI.NeuralNetworks with parameters of type FeedForwardLayer | |
void |
FeedForwardWeightedLayer.runLayer(FeedForwardLayer previousLayer)
Calculates the new activation values of this layer based on the previous layer |
void |
FeedForwardWeightedTrainingLayer.adjustDeltaWeights(float[] expectedOutput,
FeedForwardLayer previousLayer)
Calculates and adds the delta weights for this pattern |
void |
FeedForwardWeightedTrainingLayer.adjustDeltaWeights(FeedForwardLayer previousLayer,
FeedForwardWeightedTrainingLayer nextLayer)
Calculates and adds the delta weights for this pattern |
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