public class OutputLayer extends BaseOutputLayer
| Modifier and Type | Class and Description |
|---|---|
static class |
OutputLayer.Builder |
lossFnnIn, nOutactivationFn, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, layerName, learningRate, learningRateSchedule, momentum, momentumSchedule, rho, rmsDecay, updater, weightInit| Modifier | Constructor and Description |
|---|---|
protected |
OutputLayer(OutputLayer.Builder builder) |
| Modifier and Type | Method and Description |
|---|---|
ParamInitializer |
initializer() |
Layer |
instantiate(NeuralNetConfiguration conf,
java.util.Collection<IterationListener> iterationListeners,
int layerIndex,
org.nd4j.linalg.api.ndarray.INDArray layerParamsView,
boolean initializeParams) |
getLossFunctiongetL1ByParam, getL2ByParam, getLearningRateByParam, getOutputType, getPreProcessorForInputType, setNInclone, getUpdaterByParam, resetLayerDefaultConfigprotected OutputLayer(OutputLayer.Builder builder)
public Layer instantiate(NeuralNetConfiguration conf, java.util.Collection<IterationListener> iterationListeners, int layerIndex, org.nd4j.linalg.api.ndarray.INDArray layerParamsView, boolean initializeParams)
instantiate in class Layerpublic ParamInitializer initializer()
initializer in class Layer