PReLULayer.Builder (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.nn.conf.layers.Layer.Builder<T>
- - org.deeplearning4j.nn.conf.layers.BaseLayer.Builder<T>
  - - org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder<PReLULayer.Builder>
    - - org.deeplearning4j.nn.conf.layers.PReLULayer.Builder

Enclosing class:: PReLULayer

public static class PReLULayer.Builder
extends FeedForwardLayer.Builder<PReLULayer.Builder>

Field Summary
- Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
  nIn, nOut
- Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
  activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iupdater, regularization, regularizationBias, weightInitFn, weightNoise
- Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder
  allParamConstraints, biasConstraints, iDropout, layerName, weightConstraints

Constructor Summary

Constructors
Constructor Description

Builder()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`PReLULayer`	`build()`
`PReLULayer.Builder`	`inputShape(long... shape)`	Explicitly set input shape of incoming activations so that parameters can be initialized properly.
`PReLULayer.Builder`	`sharedAxes(long... axes)`	Set the broadcasting axes of PReLU's alpha parameter.

Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
nIn, nIn, nOut, nOut, units

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
activation, activation, biasInit, biasUpdater, dist, gainInit, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, regularization, regularizationBias, updater, updater, weightDecay, weightDecay, weightDecayBias, weightDecayBias, weightInit, weightInit, weightInit, weightNoise

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer.Builder
constrainAllParameters, constrainBias, constrainWeights, dropOut, dropOut, name

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Builder
```
public Builder()
```
- Method Detail
  - inputShape
```
public PReLULayer.Builder inputShape(long... shape)
```
    Explicitly set input shape of incoming activations so that parameters can be initialized properly. This explicitly excludes the mini-batch dimension.
    
    Parameters:
    
    shape - shape of input data
  - sharedAxes
```
public PReLULayer.Builder sharedAxes(long... axes)
```
    Set the broadcasting axes of PReLU's alpha parameter. For instance, given input data of shape [mb, channels, height, width], setting axes to [2,3] will set alpha to shape [channels, 1, 1] and broadcast alpha across height and width dimensions of each channel.
    
    Parameters:
    
    axes - shared/broadcasting axes
    
    Returns:
    
    Builder
  - build
```
public PReLULayer build()
```
    Specified by:
    
    build in class Layer.Builder<PReLULayer.Builder>