org.deeplearning4j.nn.conf.layers

Class SubsamplingLayer.Builder

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder

Enclosing class:

SubsamplingLayer

public static class SubsamplingLayer.Builder
extends Layer.Builder<SubsamplingLayer.Builder>

Field Summary

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

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
SubsamplingLayer	build()
SubsamplingLayer.Builder	kernelSize(int... kernelSize) Kernel size
SubsamplingLayer.Builder	padding(int... padding) Padding
SubsamplingLayer.Builder	poolingType(SubsamplingLayer.PoolingType poolingType)
SubsamplingLayer.Builder	stride(int... stride) Stride

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

activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, dist, dropOut, epsilon, gradientNormalization, gradientNormalizationThreshold, l1, l2, 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

Constructor Detail

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int[] kernelSize,
               int[] stride)

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int[] kernelSize)

Builder

public Builder(int[] kernelSize,
               int[] stride,
               int[] padding)

Builder

public Builder(int[] kernelSize,
               int[] stride)

Builder

public Builder(int... kernelSize)

Builder

public Builder(SubsamplingLayer.PoolingType poolingType)

Builder

public Builder()

Method Detail

build

public SubsamplingLayer build()

Specified by:

build in class Layer.Builder<SubsamplingLayer.Builder>

poolingType

public SubsamplingLayer.Builder poolingType(SubsamplingLayer.PoolingType poolingType)

kernelSize

public SubsamplingLayer.Builder kernelSize(int... kernelSize)

Kernel size

Parameters:

kernelSize - kernel size in height and width dimensions

stride

public SubsamplingLayer.Builder stride(int... stride)

Stride

Parameters:

stride - stride in height and width dimensions

padding

public SubsamplingLayer.Builder padding(int... padding)

Padding

Parameters:

padding - padding in the height and width dimensions