org.deeplearning4j.nn.conf

Class MultiLayerConfiguration.Builder

java.lang.Object

org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder

Direct Known Subclasses:

NeuralNetConfiguration.ListBuilder

Enclosing class:

MultiLayerConfiguration

public static class MultiLayerConfiguration.Builder
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	backprop
protected Map<Integer,ConfOverride>	confOverrides Deprecated.
protected List<NeuralNetConfiguration>	confs
protected double	dampingFactor
protected Map<Integer,InputPreProcessor>	inputPreProcessors
protected boolean	pretrain

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
MultiLayerConfiguration.Builder	backprop(boolean backprop) Whether to do back prop or not
MultiLayerConfiguration	build()
MultiLayerConfiguration.Builder	confs(List<NeuralNetConfiguration> confs)
MultiLayerConfiguration.Builder	dampingFactor(double dampingFactor) Deprecated.
boolean	equals(Object o)
int	hashCode()
MultiLayerConfiguration.Builder	inputPreProcessor(Integer layer, InputPreProcessor processor) Specify the processors.
MultiLayerConfiguration.Builder	inputPreProcessors(Map<Integer,InputPreProcessor> processors)
MultiLayerConfiguration.Builder	override(ConfOverride override) Deprecated.
MultiLayerConfiguration.Builder	override(int layer, ConfOverride override) Deprecated.
MultiLayerConfiguration.Builder	pretrain(boolean pretrain) Whether to do pre train or not
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

confs

protected List<NeuralNetConfiguration> confs

pretrain

protected boolean pretrain

dampingFactor

protected double dampingFactor

inputPreProcessors

protected Map<Integer,InputPreProcessor> inputPreProcessors

backprop

protected boolean backprop

confOverrides

@Deprecated
protected Map<Integer,ConfOverride> confOverrides

Deprecated.

Constructor Detail

Builder

public Builder()

Method Detail

inputPreProcessor

public MultiLayerConfiguration.Builder inputPreProcessor(Integer layer,
                                                         InputPreProcessor processor)

Specify the processors. These are used at each layer for doing things like normalization and shaping of input.

Parameters:

processor - what to use to preProcess the data.

Returns:

builder pattern

inputPreProcessors

public MultiLayerConfiguration.Builder inputPreProcessors(Map<Integer,InputPreProcessor> processors)

backprop

public MultiLayerConfiguration.Builder backprop(boolean backprop)

Whether to do back prop or not

Parameters:

backprop - whether to do back prop or not

Returns:

dampingFactor

@Deprecated
public MultiLayerConfiguration.Builder dampingFactor(double dampingFactor)

Deprecated.

pretrain

public MultiLayerConfiguration.Builder pretrain(boolean pretrain)

Whether to do pre train or not

Parameters:

pretrain - whether to do pre train or not

Returns:

builder pattern

confs

public MultiLayerConfiguration.Builder confs(List<NeuralNetConfiguration> confs)

build

public MultiLayerConfiguration build()

toString

public String toString()

Overrides:

toString in class Object

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

override

@Deprecated
public MultiLayerConfiguration.Builder override(ConfOverride override)

Deprecated.

override

@Deprecated
public MultiLayerConfiguration.Builder override(int layer,
                                                            ConfOverride override)

Deprecated.