org.deeplearning4j.nn.conf.layers.samediff

Class AbstractSameDiffLayer.Builder<T extends AbstractSameDiffLayer.Builder<T>>

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer.Builder<T>

org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder<T>

Direct Known Subclasses:

SameDiffLayer.Builder

Enclosing class:

AbstractSameDiffLayer

public abstract static class AbstractSameDiffLayer.Builder<T extends AbstractSameDiffLayer.Builder<T>>
extends Layer.Builder<T>

Field Summary

Fields

Modifier and Type	Field and Description
protected IUpdater	biasUpdater
protected double	l1
protected double	l1Bias
protected double	l2
protected double	l2Bias
protected IUpdater	updater

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
T	biasUpdater(IUpdater biasUpdater) Gradient updater configuration, for the biases only.
T	l1(double l1) L1 regularization coefficient (weights only).
T	l1Bias(double l1Bias) L1 regularization coefficient for the bias.
T	l2(double l2) L2 regularization coefficient (weights only).
T	l2Bias(double l2Bias) L2 regularization coefficient for the bias.
T	updater(IUpdater updater) Gradient updater.

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder

build, constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

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

Field Detail

l1

protected double l1

l2

protected double l2

l1Bias

protected double l1Bias

l2Bias

protected double l2Bias

updater

protected IUpdater updater

biasUpdater

protected IUpdater biasUpdater

Constructor Detail

Builder

public Builder()

Method Detail

l1

public T l1(double l1)

L1 regularization coefficient (weights only). Use l1Bias(double) to configure the l1 regularization coefficient for the bias.

l2

public T l2(double l2)

L2 regularization coefficient (weights only). Use l2Bias(double) to configure the l2 regularization coefficient for the bias.

l1Bias

public T l1Bias(double l1Bias)

L1 regularization coefficient for the bias. Default: 0. See also l1(double)

l2Bias

public T l2Bias(double l2Bias)

L2 regularization coefficient for the bias. Default: 0. See also l2(double)

updater

public T updater(IUpdater updater)

Gradient updater. For example, Adam or Nesterovs

Parameters:

updater - Updater to use

biasUpdater

public T biasUpdater(IUpdater biasUpdater)

Gradient updater configuration, for the biases only. If not set, biases will use the updater as set by updater(IUpdater)

Parameters:

biasUpdater - Updater to use for bias parameters