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

All Superinterfaces:: LayerHelper

public interface DropoutHelper
extends LayerHelper

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`applyDropout(INDArray inputActivations, INDArray resultArray, double dropoutInputRetainProb)`	Apply the dropout during forward pass
`void`	`backprop(INDArray gradAtOutput, INDArray gradAtInput)`	Perform backpropagation.
`boolean`	`checkSupported()`

Methods inherited from interface org.deeplearning4j.nn.layers.LayerHelper
helperMemoryUse

- Method Detail
  - checkSupported
```
boolean checkSupported()
```
    Specified by:
    
    checkSupported in interface LayerHelper
    
    Returns:
    
    Check if this dropout helper is supported in the current environment
  - applyDropout
```
void applyDropout(INDArray inputActivations,
                  INDArray resultArray,
                  double dropoutInputRetainProb)
```
    Apply the dropout during forward pass
    
    Parameters:
    
    inputActivations - Input activations (pre dropout)
    
    resultArray - Output activations (post dropout). May be same as (or different to) input array
    
    dropoutInputRetainProb - Probability of retaining an activation
  - backprop
```
void backprop(INDArray gradAtOutput,
              INDArray gradAtInput)
```
    Perform backpropagation. Note that the same dropout mask should be used for backprop as was used during the last call to applyDropout(INDArray, INDArray, double)
    
    Parameters:
    
    gradAtOutput - Gradient at output (from perspective of forward pass)
    
    gradAtInput - Result array - gradient at input. May be same as (or different to) gradient at input