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| Packages that use Layer | |
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| de.htwdd.rosenkoenig.neuro.net | The package net contains implementations, examples and utilities to create and train neural networks. |
| Uses of Layer in de.htwdd.rosenkoenig.neuro.net |
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| Subclasses of Layer in de.htwdd.rosenkoenig.neuro.net | |
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class |
InnerLayer
This class represents all hidden layers. |
class |
InputLayer
This class represents an input layer. |
class |
KohonenLayer
This wrapper class is needed to use a KohonenNet as input layer for a FeedForwardNet. |
| Fields in de.htwdd.rosenkoenig.neuro.net declared as Layer | |
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private Layer |
Synapse.inputLayer
The input layer of the Synapse. |
| Methods in de.htwdd.rosenkoenig.neuro.net that return Layer | |
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Layer |
Synapse.getInputLayer()
Getter of the property inputLayer |
| Methods in de.htwdd.rosenkoenig.neuro.net with parameters of type Layer | |
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void |
Synapse.setInputLayer(Layer inputLayer)
Setter of the property inputLayer |
| Constructors in de.htwdd.rosenkoenig.neuro.net with parameters of type Layer | |
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Synapse(Layer inputLayer,
InnerLayer outputLayer)
Create a Synapse using inputLayer and outputLayer. |
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