org.deeplearning4j.nn.conf.layers

Class Pooling2D

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer

org.deeplearning4j.nn.conf.layers.NoParamLayer

org.deeplearning4j.nn.conf.layers.SubsamplingLayer

org.deeplearning4j.nn.conf.layers.Pooling2D

All Implemented Interfaces:

Serializable, Cloneable, TrainingConfig

public class Pooling2D
extends SubsamplingLayer

2D Pooling layer. Supports the following pooling types: MAX, AVG, SUM, PNORM, NONE

Author:

Max Pumperla

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer

SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>>, SubsamplingLayer.Builder, SubsamplingLayer.PoolingType

Field Summary

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

convolutionMode, cudnnAllowFallback, dilation, eps, kernelSize, padding, pnorm, poolingType, stride

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

constraints, iDropout, layerName

Constructor Summary

Constructors

Constructor and Description
Pooling2D()

Method Summary

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

clone, getEps, getL1ByParam, getL2ByParam, getMemoryReport, getOutputType, getPnorm, getPreProcessorForInputType, initializer, instantiate, isPretrainParam, setNIn

Methods inherited from class org.deeplearning4j.nn.conf.layers.NoParamLayer

getGradientNormalization, getGradientNormalizationThreshold, isPretrain

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

getUpdaterByParam, initializeConstraints, resetLayerDefaultConfig, setPretrain

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig

getLayerName

Constructor Detail

Pooling2D

public Pooling2D()