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Packages that use SvLayer | |
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com.marmoush.jann.model.regression | |
com.marmoush.jann.model.regression.linear | |
com.marmoush.jann.sv | |
com.marmoush.jann.sv.bp | |
com.marmoush.jann.utils |
Uses of SvLayer in com.marmoush.jann.model.regression |
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Methods in com.marmoush.jann.model.regression that return SvLayer | |
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SvLayer |
FeedForwardSvNet.getInputLayer()
Gets the input layer. |
SvLayer |
FeedForwardSvNet.getOutputLayer()
Gets the output layer. |
Uses of SvLayer in com.marmoush.jann.model.regression.linear |
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Subclasses of SvLayer in com.marmoush.jann.model.regression.linear | |
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class |
LinearRegression
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Uses of SvLayer in com.marmoush.jann.sv |
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Constructor parameters in com.marmoush.jann.sv with type arguments of type SvLayer | |
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SvNeuralNetwork(Collection<? extends SvLayer> c)
Instantiates a new sv neural network. |
Uses of SvLayer in com.marmoush.jann.sv.bp |
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Constructor parameters in com.marmoush.jann.sv.bp with type arguments of type SvLayer | |
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NNFeedForwardBPNet(Collection<? extends SvLayer> c)
Instantiates a new nN feed forward bp net. |
Uses of SvLayer in com.marmoush.jann.utils |
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Methods in com.marmoush.jann.utils with parameters of type SvLayer | |
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static void |
TrainUtils.batchLinRgr(SvLayer layer,
DoubleMatrix batchTrainingEx,
DoubleMatrix batchTargets)
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static void |
TrainUtils.stochasticLinRgr(SvLayer layer,
List<DoubleMatrix> trainingEx,
List<DoubleMatrix> targets)
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Method parameters in com.marmoush.jann.utils with type arguments of type SvLayer | |
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static void |
NetworkUtils.setFillLearnRate(List<? extends SvLayer> net,
double lrnRate)
Sets the fill learn rate. |
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