java.lang.Object
- org.deeplearning4j.nn.transferlearning.FineTuneConfiguration

public class FineTuneConfiguration
extends Object

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class FineTuneConfiguration.Builder

Field Summary

Fields
Modifier and Type	Field	Description
`protected IActivation`	`activationFn`
`protected Boolean`	`backprop`
`protected BackpropType`	`backpropType`
`protected Double`	`biasInit`
`protected IUpdater`	`biasUpdater`
`protected Optional<List<LayerConstraint>>`	`constraints`
`protected ConvolutionMode`	`convolutionMode`
`protected ConvolutionLayer.AlgoMode`	`cudnnAlgoMode`
`protected Optional<IDropout>`	`dropout`
`protected Optional<GradientNormalization>`	`gradientNormalization`
`protected Double`	`gradientNormalizationThreshold`
`protected WorkspaceMode`	`inferenceWorkspaceMode`
`protected Integer`	`maxNumLineSearchIterations`
`protected Boolean`	`miniBatch`
`protected Boolean`	`minimize`
`protected OptimizationAlgorithm`	`optimizationAlgo`
`protected Boolean`	`pretrain`
`protected List<Regularization>`	`regularization`
`protected List<Regularization>`	`regularizationBias`
`protected boolean`	`removeL1`
`protected boolean`	`removeL1Bias`
`protected boolean`	`removeL2`
`protected boolean`	`removeL2Bias`
`protected boolean`	`removeWD`
`protected boolean`	`removeWDBias`
`protected Long`	`seed`
`protected StepFunction`	`stepFunction`
`protected Integer`	`tbpttBackLength`
`protected Integer`	`tbpttFwdLength`
`protected WorkspaceMode`	`trainingWorkspaceMode`
`protected IUpdater`	`updater`
`protected IWeightInit`	`weightInitFn`
`protected Optional<IWeightNoise>`	`weightNoise`

Constructor Summary

Constructors
Constructor Description

FineTuneConfiguration()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`NeuralNetConfiguration`	`appliedNeuralNetConfiguration(NeuralNetConfiguration nnc)`
`NeuralNetConfiguration.Builder`	`appliedNeuralNetConfigurationBuilder()`
`void`	`applyToComputationGraphConfiguration(ComputationGraphConfiguration conf)`
`void`	`applyToMultiLayerConfiguration(MultiLayerConfiguration conf)`
`void`	`applyToNeuralNetConfiguration(NeuralNetConfiguration nnc)`
`static FineTuneConfiguration.Builder`	`builder()`
`static FineTuneConfiguration`	`fromJson(String json)`
`static FineTuneConfiguration`	`fromYaml(String yaml)`
`String`	`toJson()`
`String`	`toYaml()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

activationFn
```
protected IActivation activationFn
```

weightInitFn
```
protected IWeightInit weightInitFn
```

biasInit
```
protected Double biasInit
```

regularization

protected List<Regularization> regularization

regularizationBias

protected List<Regularization> regularizationBias

removeL2
```
protected boolean removeL2
```

removeL2Bias
```
protected boolean removeL2Bias
```

removeL1
```
protected boolean removeL1
```

removeL1Bias
```
protected boolean removeL1Bias
```

removeWD
```
protected boolean removeWD
```

removeWDBias
```
protected boolean removeWDBias
```

dropout
```
protected Optional<IDropout> dropout
```

weightNoise

protected Optional<IWeightNoise> weightNoise

updater
```
protected IUpdater updater
```

biasUpdater
```
protected IUpdater biasUpdater
```

miniBatch
```
protected Boolean miniBatch
```

maxNumLineSearchIterations

protected Integer maxNumLineSearchIterations

seed
```
protected Long seed
```

optimizationAlgo

protected OptimizationAlgorithm optimizationAlgo

stepFunction
```
protected StepFunction stepFunction
```

minimize
```
protected Boolean minimize
```

gradientNormalization

protected Optional<GradientNormalization> gradientNormalization

gradientNormalizationThreshold

protected Double gradientNormalizationThreshold

convolutionMode

protected ConvolutionMode convolutionMode

cudnnAlgoMode

protected ConvolutionLayer.AlgoMode cudnnAlgoMode

constraints

protected Optional<List<LayerConstraint>> constraints

pretrain
```
protected Boolean pretrain
```

backprop
```
protected Boolean backprop
```

backpropType
```
protected BackpropType backpropType
```

tbpttFwdLength
```
protected Integer tbpttFwdLength
```

tbpttBackLength
```
protected Integer tbpttBackLength
```

trainingWorkspaceMode

protected WorkspaceMode trainingWorkspaceMode

inferenceWorkspaceMode

protected WorkspaceMode inferenceWorkspaceMode

Constructor Detail
- FineTuneConfiguration
```
public FineTuneConfiguration()
```

Method Detail

builder

public static FineTuneConfiguration.Builder builder()

appliedNeuralNetConfiguration

public NeuralNetConfiguration appliedNeuralNetConfiguration(NeuralNetConfiguration nnc)

applyToNeuralNetConfiguration

public void applyToNeuralNetConfiguration(NeuralNetConfiguration nnc)

applyToMultiLayerConfiguration

public void applyToMultiLayerConfiguration(MultiLayerConfiguration conf)

applyToComputationGraphConfiguration

public void applyToComputationGraphConfiguration(ComputationGraphConfiguration conf)

appliedNeuralNetConfigurationBuilder

public NeuralNetConfiguration.Builder appliedNeuralNetConfigurationBuilder()

toJson
```
public String toJson()
```

toYaml
```
public String toYaml()
```

fromJson

public static FineTuneConfiguration fromJson(String json)

fromYaml

public static FineTuneConfiguration fromYaml(String yaml)

Class FineTuneConfiguration

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

activationFn

weightInitFn

biasInit

regularization

regularizationBias

removeL2

removeL2Bias

removeL1

removeL1Bias

removeWD

removeWDBias

dropout

weightNoise

updater

biasUpdater

miniBatch

maxNumLineSearchIterations

seed

optimizationAlgo

stepFunction

minimize

gradientNormalization

gradientNormalizationThreshold

convolutionMode

cudnnAlgoMode

constraints

pretrain

backprop

backpropType

tbpttFwdLength

tbpttBackLength

trainingWorkspaceMode

inferenceWorkspaceMode

Constructor Detail

FineTuneConfiguration

Method Detail

builder

appliedNeuralNetConfiguration

applyToNeuralNetConfiguration

applyToMultiLayerConfiguration

applyToComputationGraphConfiguration

appliedNeuralNetConfigurationBuilder

toJson

toYaml

fromJson

fromYaml