org.deeplearning4j.nn.conf.layers

Class SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>>

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder<T>

Direct Known Subclasses:

Subsampling1DLayer.Builder, SubsamplingLayer.Builder

Enclosing class:

SubsamplingLayer

protected abstract static class SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>>
extends Layer.Builder<T>

Field Summary

Fields

Modifier and Type	Field and Description
protected ConvolutionMode	convolutionMode
protected double	eps
protected int[]	kernelSize
protected int[]	padding
protected int	pnorm
protected PoolingType	poolingType
protected int[]	stride

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

activationFn, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, layerName, learningRate, learningRatePolicy, learningRateSchedule, momentum, momentumAfter, rho, rmsDecay, updater, weightInit

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	BaseSubsamplingBuilder(int... kernelSize)
protected	BaseSubsamplingBuilder(int[] kernelSize, int[] stride)
protected	BaseSubsamplingBuilder(int[] kernelSize, int[] stride, int[] padding)
protected	BaseSubsamplingBuilder(PoolingType poolingType)
protected	BaseSubsamplingBuilder(PoolingType poolingType, int[] kernelSize)
protected	BaseSubsamplingBuilder(PoolingType poolingType, int[] kernelSize, int[] stride, int[] padding)
protected	BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType)
protected	BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize)
protected	BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride)
protected	BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride, int[] padding)

Method Summary

Modifier and Type	Method and Description
T	convolutionMode(ConvolutionMode convolutionMode) Set the convolution mode for the Convolution layer.
T	eps(double eps)
T	pnorm(int pnorm)
T	poolingType(SubsamplingLayer.PoolingType poolingType)

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

activation, activation, activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, build, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, learningRate, learningRateDecayPolicy, learningRateSchedule, momentum, momentumAfter, name, rho, rmsDecay, updater, weightInit

Methods inherited from class java.lang.Object

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

Field Detail

poolingType

protected PoolingType poolingType

kernelSize

protected int[] kernelSize

stride

protected int[] stride

padding

protected int[] padding

convolutionMode

protected ConvolutionMode convolutionMode

pnorm

protected int pnorm

eps

protected double eps

Constructor Detail

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType,
                                 int[] kernelSize,
                                 int[] stride)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType,
                                 int[] kernelSize)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType,
                                 int[] kernelSize,
                                 int[] stride,
                                 int[] padding)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(PoolingType poolingType,
                                 int[] kernelSize)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(PoolingType poolingType,
                                 int[] kernelSize,
                                 int[] stride,
                                 int[] padding)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(int[] kernelSize,
                                 int[] stride,
                                 int[] padding)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(int[] kernelSize,
                                 int[] stride)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(int... kernelSize)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType)

BaseSubsamplingBuilder

protected BaseSubsamplingBuilder(PoolingType poolingType)

Method Detail

convolutionMode

public T convolutionMode(ConvolutionMode convolutionMode)

Set the convolution mode for the Convolution layer. See ConvolutionMode for more details

Parameters:

convolutionMode - Convolution mode for layer

poolingType

public T poolingType(SubsamplingLayer.PoolingType poolingType)

pnorm

public T pnorm(int pnorm)

eps

public T eps(double eps)