Uses of Class
org.knime.base.data.neural.Layer

Packages that use Layer
org.knime.base.data.neural This package contains all the necessary classes to build your own neural network. 
 

Uses of Layer in org.knime.base.data.neural
 

Subclasses of Layer in org.knime.base.data.neural
 class HiddenLayer
          This class represents a hidden layer in a MultiLayerPerceptron.
 class InputLayer
          A special layer holding the input perceptrons.
 

Methods in org.knime.base.data.neural that return Layer
 Layer MultiLayerPerceptron.getLayer(int i)
          Returns layer at a given position.
 Layer[] MultiLayerPerceptron.getLayers()
           
 Layer HiddenLayer.getPredLayer()
          Returns the predecessor layer for the current layer.
 

Methods in org.knime.base.data.neural with parameters of type Layer
 void MultiLayerPerceptron.setLayer(int i, Layer layer)
          Sets the layer at a given position.
 void MultiLayerPerceptron.setLayers(Layer[] layers)
          Sets all layers.
 void HiddenLayer.setPredLayer(Layer predLayer)
          Sets the predecessor layer.
 

Constructors in org.knime.base.data.neural with parameters of type Layer
HiddenLayer(Layer predLayer, int nrHiddenNeurons)
          Constructs a layer with given predecessor layer and given number of hidden neurons.
HiddenLayer(Layer predLayer, Perceptron[] neurons)
          Constructs a hidden layer with the given predecessor layer and the given neurons.
MultiLayerPerceptron(Layer[] layers)
          Constructs a net with the given layers.
 



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