org.deeplearning4j.conf

Class NeuralNetConfiguration

java.lang.Object

org.deeplearning4j.conf.NeuralNetConfiguration

All Implemented Interfaces:

Serializable

public class NeuralNetConfiguration
extends Object
implements Serializable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
ActivationFunction	activation
org.apache.commons.math3.distribution.RealDistribution	dist
double	fanIn
protected boolean	forceNumEpochs
int[]	hiddenLayerSizes
double	l2
LogisticRegression	logLayer
double	momentum
int	nIns
int	nLayers
int	nOuts
MultiLayerNetworkOptimizer	optimizer
int	renderWeightsEveryNEpochs
org.apache.commons.math3.random.RandomGenerator	rng
protected boolean	shouldBackProp
boolean	shouldInit
boolean	toDecode
boolean	useRegularization
protected Map<Integer,MatrixTransform>	weightTransforms

Constructor Summary

Constructors

Constructor and Description
NeuralNetConfiguration()

Method Summary

Methods

Modifier and Type	Method and Description
ActivationFunction	getActivation()
org.apache.commons.math3.distribution.RealDistribution	getDist()
double	getFanIn()
int[]	getHiddenLayerSizes()
double	getL2()
LogisticRegression	getLogLayer()
double	getMomentum()
int	getnIns()
int	getnLayers()
int	getnOuts()
MultiLayerNetworkOptimizer	getOptimizer()
int	getRenderWeightsEveryNEpochs()
org.apache.commons.math3.random.RandomGenerator	getRng()
Map<Integer,MatrixTransform>	getWeightTransforms()
boolean	isForceNumEpochs()
boolean	isShouldBackProp()
boolean	isShouldInit()
boolean	isToDecode()
boolean	isUseRegularization()
void	setActivation(ActivationFunction activation)
void	setDist(org.apache.commons.math3.distribution.RealDistribution dist)
void	setFanIn(double fanIn)
void	setForceNumEpochs(boolean forceNumEpochs)
void	setHiddenLayerSizes(int[] hiddenLayerSizes)
void	setL2(double l2)
void	setLogLayer(LogisticRegression logLayer)
void	setMomentum(double momentum)
void	setnIns(int nIns)
void	setnLayers(int nLayers)
void	setnOuts(int nOuts)
void	setOptimizer(MultiLayerNetworkOptimizer optimizer)
void	setRenderWeightsEveryNEpochs(int renderWeightsEveryNEpochs)
void	setRng(org.apache.commons.math3.random.RandomGenerator rng)
void	setShouldBackProp(boolean shouldBackProp)
void	setShouldInit(boolean shouldInit)
void	setToDecode(boolean toDecode)
void	setUseRegularization(boolean useRegularization)
void	setWeightTransforms(Map<Integer,MatrixTransform> weightTransforms)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

nIns

public int nIns

hiddenLayerSizes

public int[] hiddenLayerSizes

nOuts

public int nOuts

nLayers

public int nLayers

logLayer

public LogisticRegression logLayer

rng

public org.apache.commons.math3.random.RandomGenerator rng

dist

public org.apache.commons.math3.distribution.RealDistribution dist

momentum

public double momentum

optimizer

public MultiLayerNetworkOptimizer optimizer

activation

public ActivationFunction activation

toDecode

public boolean toDecode

l2

public double l2

shouldInit

public boolean shouldInit

fanIn

public double fanIn

renderWeightsEveryNEpochs

public int renderWeightsEveryNEpochs

useRegularization

public boolean useRegularization

weightTransforms

protected Map<Integer,MatrixTransform> weightTransforms

shouldBackProp

protected boolean shouldBackProp

forceNumEpochs

protected boolean forceNumEpochs

Constructor Detail

NeuralNetConfiguration

public NeuralNetConfiguration()

Method Detail

getnIns

public int getnIns()

setnIns

public void setnIns(int nIns)

getHiddenLayerSizes

public int[] getHiddenLayerSizes()

setHiddenLayerSizes

public void setHiddenLayerSizes(int[] hiddenLayerSizes)

getnOuts

public int getnOuts()

setnOuts

public void setnOuts(int nOuts)

getnLayers

public int getnLayers()

setnLayers

public void setnLayers(int nLayers)

getLogLayer

public LogisticRegression getLogLayer()

setLogLayer

public void setLogLayer(LogisticRegression logLayer)

getRng

public org.apache.commons.math3.random.RandomGenerator getRng()

setRng

public void setRng(org.apache.commons.math3.random.RandomGenerator rng)

getDist

public org.apache.commons.math3.distribution.RealDistribution getDist()

setDist

public void setDist(org.apache.commons.math3.distribution.RealDistribution dist)

getMomentum

public double getMomentum()

setMomentum

public void setMomentum(double momentum)

getOptimizer

public MultiLayerNetworkOptimizer getOptimizer()

setOptimizer

public void setOptimizer(MultiLayerNetworkOptimizer optimizer)

getActivation

public ActivationFunction getActivation()

setActivation

public void setActivation(ActivationFunction activation)

isToDecode

public boolean isToDecode()

setToDecode

public void setToDecode(boolean toDecode)

getL2

public double getL2()

setL2

public void setL2(double l2)

isShouldInit

public boolean isShouldInit()

setShouldInit

public void setShouldInit(boolean shouldInit)

getFanIn

public double getFanIn()

setFanIn

public void setFanIn(double fanIn)

getRenderWeightsEveryNEpochs

public int getRenderWeightsEveryNEpochs()

setRenderWeightsEveryNEpochs

public void setRenderWeightsEveryNEpochs(int renderWeightsEveryNEpochs)

isUseRegularization

public boolean isUseRegularization()

setUseRegularization

public void setUseRegularization(boolean useRegularization)

getWeightTransforms

public Map<Integer,MatrixTransform> getWeightTransforms()

setWeightTransforms

public void setWeightTransforms(Map<Integer,MatrixTransform> weightTransforms)

isShouldBackProp

public boolean isShouldBackProp()

setShouldBackProp

public void setShouldBackProp(boolean shouldBackProp)

isForceNumEpochs

public boolean isForceNumEpochs()

setForceNumEpochs

public void setForceNumEpochs(boolean forceNumEpochs)