CapsuleStrengthLayer (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.nn.conf.layers.Layer
- - org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
  - - org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
    - - org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
      - org.deeplearning4j.nn.conf.layers.CapsuleStrengthLayer

All Implemented Interfaces:

Serializable, Cloneable, TrainingConfig
```
public class CapsuleStrengthLayer
extends SameDiffLambdaLayer
```
See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class CapsuleStrengthLayer.Builder

Field Summary
- Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
  paramWeightInit, weightInit
- Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
  biasUpdater, gradientNormalization, gradientNormalizationThreshold, regularization, regularizationBias, updater
- Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
  constraints, iDropout, layerName

Constructor Summary

Constructors
Constructor Description

CapsuleStrengthLayer(CapsuleStrengthLayer.Builder builder)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`SDVariable`	`defineLayer(SameDiff SD, SDVariable layerInput)`	The defineLayer method is used to define the forward pass for the layer
`InputType`	`getOutputType(int layerIndex, InputType inputType)`	For a given type of input to this layer, what is the type of the output?

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
defineLayer, defineParameters, initializeParameters

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
feedForwardMaskArray, instantiate, validateInput

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
applyGlobalConfig, applyGlobalConfigToLayer, getLayerParams, getMemoryReport, getPreProcessorForInputType, getRegularizationByParam, getUpdaterByParam, initializer, initWeights, isPretrainParam, onesMaskForInput, paramReshapeOrder, setNIn

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
clone, initializeConstraints, resetLayerDefaultConfig, setDataType

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
getGradientNormalization, getGradientNormalizationThreshold, getLayerName

- Constructor Detail
  - CapsuleStrengthLayer
```
public CapsuleStrengthLayer(CapsuleStrengthLayer.Builder builder)
```
- Method Detail
  - defineLayer
```
public SDVariable defineLayer(SameDiff SD,
                              SDVariable layerInput)
```
    Description copied from class: SameDiffLambdaLayer
    
    The defineLayer method is used to define the forward pass for the layer
    
    Specified by:
    
    defineLayer in class SameDiffLambdaLayer
    
    Parameters:
    
    SD - SameDiff instance to use to define the vertex
    
    layerInput - Layer input variable
    
    Returns:
    
    The output variable (corresponding to the output activations for the layer)
  - getOutputType
```
public InputType getOutputType(int layerIndex,
                               InputType inputType)
```
    Description copied from class: Layer
    
    For a given type of input to this layer, what is the type of the output?
    
    Overrides:
    
    getOutputType in class SameDiffLambdaLayer
    
    Parameters:
    
    layerIndex - Index of the layer
    
    inputType - Type of input for the layer
    
    Returns:
    
    Type of output from the layer