Uses of Class
org.deeplearning4j.nn.api.Layer.TrainingMode

Packages that use Layer.TrainingMode

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.normalization
org.deeplearning4j.nn.multilayer

Uses of Layer.TrainingMode in org.deeplearning4j.nn.api

Methods in org.deeplearning4j.nn.api that return Layer.TrainingMode

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.

Uses of Layer.TrainingMode in org.deeplearning4j.nn.layers

Methods in org.deeplearning4j.nn.layers with parameters of type Layer.TrainingMode

Modifier and Type	Method and Description
void	FrozenLayer.logTestMode(Layer.TrainingMode training)
void	FrozenLayerWithBackprop.logTestMode(Layer.TrainingMode training)

Uses of Layer.TrainingMode in org.deeplearning4j.nn.layers.normalization

Methods in org.deeplearning4j.nn.layers.normalization with parameters of type Layer.TrainingMode

Modifier and Type	Method and Description
INDArray	BatchNormalization.preOutput(INDArray x, Layer.TrainingMode training, LayerWorkspaceMgr workspaceMgr)

Uses of Layer.TrainingMode in org.deeplearning4j.nn.multilayer

Methods in org.deeplearning4j.nn.multilayer with parameters of type Layer.TrainingMode

Modifier and Type	Method and Description
INDArray	MultiLayerNetwork.activate(INDArray input, Layer.TrainingMode training) Equivalent to #output(INDArray, TrainingMode)
INDArray	MultiLayerNetwork.activate(Layer.TrainingMode training) Equivalent to MultiLayerNetwork.output(INDArray) using the input set via MultiLayerNetwork.setInput(INDArray)
INDArray	MultiLayerNetwork.output(INDArray input, Layer.TrainingMode train) Perform inference on the provided input/features - i.e., perform forward pass using the provided input/features and return the output of the final layer.