org.deeplearning4j.nn.conf.layers

Class LossLayer.Builder

java.lang.Object

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

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

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

org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder<LossLayer.Builder>

org.deeplearning4j.nn.conf.layers.LossLayer.Builder

Enclosing class:

LossLayer

public static class LossLayer.Builder
extends BaseOutputLayer.Builder<LossLayer.Builder>

Field Summary

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

lossFn

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

nIn, nOut

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

activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise

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

allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors

Constructor and Description
Builder()
Builder(ILossFunction lossFunction)
Builder(LossFunctions.LossFunction lossFunction)

Method Summary

Modifier and Type	Method and Description
LossLayer	build()
LossLayer.Builder	nIn(int nIn) Number of inputs for the layer (usually the size of the last layer).
LossLayer.Builder	nOut(int nOut) Number of outputs - used to set the layer size (number of units/nodes for the current layer).

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

hasBias, lossFunction, lossFunction

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

nIn, nOut, units

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

activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise

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

constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object

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

Constructor Detail

Builder

public Builder()

Builder

public Builder(LossFunctions.LossFunction lossFunction)

Parameters:

lossFunction - Loss function for the loss layer

Builder

public Builder(ILossFunction lossFunction)

Parameters:

lossFunction - Loss function for the loss layer

Method Detail

nIn

public LossLayer.Builder nIn(int nIn)

Description copied from class: FeedForwardLayer.Builder

Number of inputs for the layer (usually the size of the last layer).
Note that for Convolutional layers, this is the input channels, otherwise is the previous layer size.

Overrides:

nIn in class FeedForwardLayer.Builder<LossLayer.Builder>

Parameters:

nIn - Number of inputs for the layer

nOut

public LossLayer.Builder nOut(int nOut)

Description copied from class: FeedForwardLayer.Builder

Number of outputs - used to set the layer size (number of units/nodes for the current layer). Note that this is equivalent to FeedForwardLayer.Builder.units(int)

Overrides:

nOut in class FeedForwardLayer.Builder<LossLayer.Builder>

Parameters:

nOut - Number of outputs / layer size

build

public LossLayer build()

Specified by:

build in class Layer.Builder<LossLayer.Builder>