org.deeplearning4j.nn.conf.layers

Class Subsampling1DLayer.Builder

java.lang.Object

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

org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder<Subsampling1DLayer.Builder>

org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder

Enclosing class:

Subsampling1DLayer

public static class Subsampling1DLayer.Builder
extends SubsamplingLayer.BaseSubsamplingBuilder<Subsampling1DLayer.Builder>

Field Summary

Fields inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder

convolutionMode, eps, kernelSize, padding, pnorm, poolingType, 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

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

Method Summary

Modifier and Type	Method and Description
Subsampling1DLayer	build()
Subsampling1DLayer.Builder	kernelSize(int kernelSize) Kernel size
Subsampling1DLayer.Builder	padding(int padding) Padding
Subsampling1DLayer.Builder	stride(int stride) Stride

Methods inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder

convolutionMode, eps, pnorm, poolingType

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

activation, activation, activation, adamMeanDecay, adamVarDecay, biasInit, biasLearningRate, 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

Constructor Detail

Builder

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

Builder

public Builder(SubsamplingLayer.PoolingType poolingType,
               int kernelSize)

Builder

public Builder(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(PoolingType poolingType)

Builder

public Builder()

Builder

public Builder(PoolingType poolingType,
               int kernelSize,
               int stride,
               int padding)

Builder

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

Method Detail

build

public Subsampling1DLayer build()

Specified by:

build in class Layer.Builder<Subsampling1DLayer.Builder>

kernelSize

public Subsampling1DLayer.Builder kernelSize(int kernelSize)

Kernel size

Parameters:

kernelSize - kernel size in height and width dimensions

stride

public Subsampling1DLayer.Builder stride(int stride)

Stride

Parameters:

stride - stride value

padding

public Subsampling1DLayer.Builder padding(int padding)

Padding

Parameters:

padding - padding value