Package org.deeplearning4j.nn.conf.layers

Class Cnn3DLossLayer.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<Cnn3DLossLayer.Builder>

org.deeplearning4j.nn.conf.layers.Cnn3DLossLayer.Builder

Enclosing class:

Cnn3DLossLayer

public static class Cnn3DLossLayer.Builder
extends BaseOutputLayer.Builder<Cnn3DLossLayer.Builder>

Field Summary

Fields

Modifier and Type	Field	Description
protected Convolution3D.DataFormat	dataFormat	Format of the input/output data.

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	Description
Builder(Convolution3D.DataFormat format)

Method Summary

Modifier and Type	Method	Description
Cnn3DLossLayer	build()
Cnn3DLossLayer.Builder	nIn(int nIn)	Number of inputs for the layer (usually the size of the last layer).
Cnn3DLossLayer.Builder	nOut(int nOut)	Number of outputs - used to set the layer size (number of units/nodes for the current layer).
void	setNIn(long nIn)
void	setNOut(long nOut)

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

Field Detail

dataFormat

protected Convolution3D.DataFormat dataFormat

Format of the input/output data. See Convolution3D.DataFormat for details

Constructor Detail

Builder

public Builder(@NonNull
               Convolution3D.DataFormat format)

Parameters:

format - Format of the input/output data. See Convolution3D.DataFormat for details

Method Detail

nIn

public Cnn3DLossLayer.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<Cnn3DLossLayer.Builder>

Parameters:

nIn - Number of inputs for the layer

nOut

public Cnn3DLossLayer.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<Cnn3DLossLayer.Builder>

Parameters:

nOut - Number of outputs / layer size

setNIn

public void setNIn(long nIn)

setNOut

public void setNOut(long nOut)

build

public Cnn3DLossLayer build()

Specified by:

build in class Layer.Builder<Cnn3DLossLayer.Builder>