Class Pooling2D
- java.lang.Object
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- org.deeplearning4j.nn.conf.layers.Layer
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- org.deeplearning4j.nn.conf.layers.NoParamLayer
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- org.deeplearning4j.nn.conf.layers.SubsamplingLayer
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- org.deeplearning4j.nn.conf.layers.Pooling2D
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- All Implemented Interfaces:
Serializable
,Cloneable
,TrainingConfig
public class Pooling2D extends SubsamplingLayer
2D Pooling (subsampling) layer. Equivalent toSubsamplingLayer
Supports the following pooling types: MAX, AVG, SUM, PNORM, NONE- Author:
- Max Pumperla
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>>, SubsamplingLayer.Builder, SubsamplingLayer.PoolingType
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Field Summary
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Fields inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
avgPoolIncludePadInDivisor, cnn2dDataFormat, convolutionMode, cudnnAllowFallback, DEFAULT_FORMAT, dilation, eps, kernelSize, padding, pnorm, poolingType, stride
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Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
constraints, iDropout, layerName
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Constructor Summary
Constructors Constructor Description Pooling2D()
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Method Summary
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Methods inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
clone, getEps, getMemoryReport, getOutputType, getPnorm, getPreProcessorForInputType, initializer, instantiate, isPretrainParam, setNIn
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Methods inherited from class org.deeplearning4j.nn.conf.layers.NoParamLayer
getGradientNormalization, getGradientNormalizationThreshold, getRegularizationByParam
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Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
getUpdaterByParam, initializeConstraints, resetLayerDefaultConfig, setDataType
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig
getLayerName
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