Uses of Class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType (deeplearning4j 1.0.0-beta6 API)

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Packages that use SubsamplingLayer.PoolingType
Package Description

org.deeplearning4j.arbiter.layers

org.deeplearning4j.nn.conf.layers

org.deeplearning4j.zoo.model.helper

Uses of SubsamplingLayer.PoolingType in org.deeplearning4j.arbiter.layers

Fields in org.deeplearning4j.arbiter.layers with type parameters of type SubsamplingLayer.PoolingType
Modifier and Type	Field and Description
`protected ParameterSpace<SubsamplingLayer.PoolingType>`	SubsamplingLayerSpace.`poolingType`
`protected ParameterSpace<SubsamplingLayer.PoolingType>`	SubsamplingLayerSpace.Builder.`poolingType`

Methods in org.deeplearning4j.arbiter.layers with parameters of type SubsamplingLayer.PoolingType
Modifier and Type	Method and Description
`SubsamplingLayerSpace.Builder`	SubsamplingLayerSpace.Builder.`poolingType(SubsamplingLayer.PoolingType poolingType)`

Method parameters in org.deeplearning4j.arbiter.layers with type arguments of type SubsamplingLayer.PoolingType
Modifier and Type	Method and Description
`SubsamplingLayerSpace.Builder`	SubsamplingLayerSpace.Builder.`poolingType(ParameterSpace<SubsamplingLayer.PoolingType> poolingType)`

Uses of SubsamplingLayer.PoolingType in org.deeplearning4j.nn.conf.layers

Methods in org.deeplearning4j.nn.conf.layers that return SubsamplingLayer.PoolingType
Modifier and Type	Method and Description
`static SubsamplingLayer.PoolingType`	SubsamplingLayer.PoolingType.`valueOf(String name)` Returns the enum constant of this type with the specified name.
`static SubsamplingLayer.PoolingType[]`	SubsamplingLayer.PoolingType.`values()` Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.nn.conf.layers with parameters of type SubsamplingLayer.PoolingType
Modifier and Type	Method and Description
`T`	SubsamplingLayer.BaseSubsamplingBuilder.`poolingType(SubsamplingLayer.PoolingType poolingType)`

Constructors in org.deeplearning4j.nn.conf.layers with parameters of type SubsamplingLayer.PoolingType
Constructor and Description
`BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType)`
`BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize)`
`BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride)`
`BaseSubsamplingBuilder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride, int[] padding)`
`Builder(SubsamplingLayer.PoolingType poolingType)`
`Builder(SubsamplingLayer.PoolingType poolingType)`
`Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize)`
`Builder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize)`
`Builder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride)`
`Builder(SubsamplingLayer.PoolingType poolingType, int[] kernelSize, int[] stride, int[] padding)`
`Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize, int stride)`
`Builder(SubsamplingLayer.PoolingType poolingType, int kernelSize, int stride, int padding)`

Uses of SubsamplingLayer.PoolingType in org.deeplearning4j.zoo.model.helper

Methods in org.deeplearning4j.zoo.model.helper with parameters of type SubsamplingLayer.PoolingType
Modifier and Type	Method and Description
`static ComputationGraphConfiguration.GraphBuilder`	FaceNetHelper.`appendGraph(ComputationGraphConfiguration.GraphBuilder graph, String moduleLayerName, int inputSize, int[] kernelSize, int[] kernelStride, int[] outputSize, int[] reduceSize, SubsamplingLayer.PoolingType poolingType, Activation transferFunction, String inputLayer)`
`static ComputationGraphConfiguration.GraphBuilder`	FaceNetHelper.`appendGraph(ComputationGraphConfiguration.GraphBuilder graph, String moduleLayerName, int inputSize, int[] kernelSize, int[] kernelStride, int[] outputSize, int[] reduceSize, SubsamplingLayer.PoolingType poolingType, int pNorm, Activation transferFunction, String inputLayer)`
`static ComputationGraphConfiguration.GraphBuilder`	FaceNetHelper.`appendGraph(ComputationGraphConfiguration.GraphBuilder graph, String moduleLayerName, int inputSize, int[] kernelSize, int[] kernelStride, int[] outputSize, int[] reduceSize, SubsamplingLayer.PoolingType poolingType, int poolSize, int poolStride, Activation transferFunction, String inputLayer)`
`static ComputationGraphConfiguration.GraphBuilder`	FaceNetHelper.`appendGraph(ComputationGraphConfiguration.GraphBuilder graph, String moduleLayerName, int inputSize, int[] kernelSize, int[] kernelStride, int[] outputSize, int[] reduceSize, SubsamplingLayer.PoolingType poolingType, int pNorm, int poolSize, int poolStride, Activation transferFunction, String inputLayer)` Appends inception layer configurations a GraphBuilder object, based on the concept of Inception via the GoogleLeNet paper: https://arxiv.org/abs/1409.4842

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