Package | Description |
---|---|
org.deeplearning4j.nn.conf | |
org.deeplearning4j.nn.conf.layers | |
org.deeplearning4j.nn.transferlearning | |
org.deeplearning4j.nn.updater |
Modifier and Type | Field and Description |
---|---|
protected LearningRatePolicy |
NeuralNetConfiguration.learningRatePolicy |
protected LearningRatePolicy |
NeuralNetConfiguration.Builder.learningRatePolicy |
Modifier and Type | Method and Description |
---|---|
static LearningRatePolicy |
LearningRatePolicy.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static LearningRatePolicy[] |
LearningRatePolicy.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
---|---|
NeuralNetConfiguration.Builder |
NeuralNetConfiguration.Builder.learningRateDecayPolicy(LearningRatePolicy policy)
Learning rate decay policy.
|
Modifier and Type | Field and Description |
---|---|
protected LearningRatePolicy |
BaseLayer.Builder.learningRatePolicy |
Modifier and Type | Method and Description |
---|---|
ConvolutionLayer.Builder |
ConvolutionLayer.Builder.learningRateDecayPolicy(LearningRatePolicy policy)
Learning rate decay policy.
|
T |
BaseLayer.Builder.learningRateDecayPolicy(LearningRatePolicy policy)
Learning rate decay policy.
|
Modifier and Type | Field and Description |
---|---|
protected LearningRatePolicy |
FineTuneConfiguration.learningRatePolicy |
Modifier and Type | Method and Description |
---|---|
void |
UpdaterBlock.applyLrDecayPolicy(LearningRatePolicy decay,
int iteration)
Apply learning rate decay, based on the configuration
|
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