Package | Description |
---|---|
org.deeplearning4j.dbn | |
org.deeplearning4j.nn |
Modifier and Type | Method and Description |
---|---|
HiddenLayer |
GaussianRectifiedLinearDBN.createHiddenLayer(int index,
int nIn,
int nOut,
ActivationFunction activation,
org.apache.commons.math3.random.RandomGenerator rng,
org.jblas.DoubleMatrix layerInput,
org.apache.commons.math3.distribution.RealDistribution dist)
Creates a hidden layer with the given parameters.
|
Modifier and Type | Class and Description |
---|---|
class |
RectifiedLinearHiddenLayer
Rectified linear hidden units vs binomial sampled ones
|
Modifier and Type | Method and Description |
---|---|
HiddenLayer |
HiddenLayer.Builder.build() |
HiddenLayer |
HiddenLayer.clone() |
HiddenLayer |
BaseMultiLayerNetwork.createHiddenLayer(int index,
int nIn,
int nOut,
ActivationFunction activation,
org.apache.commons.math3.random.RandomGenerator rng,
org.jblas.DoubleMatrix layerInput,
org.apache.commons.math3.distribution.RealDistribution dist)
Creates a hidden layer with the given parameters.
|
HiddenLayer[] |
BaseMultiLayerNetwork.getSigmoidLayers() |
HiddenLayer |
HiddenLayer.transpose() |
Modifier and Type | Method and Description |
---|---|
void |
BaseMultiLayerNetwork.setSigmoidLayers(HiddenLayer[] sigmoidLayers) |
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