Modifier and Type | Method and Description |
---|---|
static Layer.TrainingMode |
Layer.TrainingMode.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static Layer.TrainingMode[] |
Layer.TrainingMode.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
---|---|
org.nd4j.linalg.api.ndarray.INDArray |
Layer.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training)
Initialize the layer with the given input
and return the activation for this layer
given this input
|
org.nd4j.linalg.api.ndarray.INDArray |
Layer.activate(Layer.TrainingMode training)
Trigger an activation with the last specified input
|
org.nd4j.linalg.api.ndarray.INDArray |
Layer.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training)
Raw activations
|
Modifier and Type | Method and Description |
---|---|
org.nd4j.linalg.api.ndarray.INDArray |
FrozenLayer.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
AbstractLayer.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
BaseLayer.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
FrozenLayer.activate(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
AbstractLayer.activate(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
BaseLayer.activate(Layer.TrainingMode training) |
void |
FrozenLayer.logTestMode(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
FrozenLayer.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
AbstractLayer.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
BaseLayer.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
Modifier and Type | Method and Description |
---|---|
org.nd4j.linalg.api.ndarray.INDArray |
BatchNormalization.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
BatchNormalization.activate(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
BatchNormalization.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
Modifier and Type | Method and Description |
---|---|
org.nd4j.linalg.api.ndarray.INDArray |
VariationalAutoencoder.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
VariationalAutoencoder.activate(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
VariationalAutoencoder.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
Modifier and Type | Method and Description |
---|---|
org.nd4j.linalg.api.ndarray.INDArray |
MultiLayerNetwork.activate(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
MultiLayerNetwork.activate(Layer.TrainingMode training) |
org.nd4j.linalg.api.ndarray.INDArray |
MultiLayerNetwork.output(org.nd4j.linalg.api.ndarray.INDArray input,
Layer.TrainingMode train)
Label the probabilities of the input
|
org.nd4j.linalg.api.ndarray.INDArray |
MultiLayerNetwork.preOutput(org.nd4j.linalg.api.ndarray.INDArray x,
Layer.TrainingMode training) |
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