org.deeplearning4j.nn.conf.preprocessor

Class UnitVarianceProcessor

java.lang.Object

org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor

org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, InputPreProcessor

public class UnitVarianceProcessor
extends BaseInputPreProcessor

Unit variance operation

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
UnitVarianceProcessor()

Method Summary

Modifier and Type	Method and Description
org.nd4j.linalg.api.ndarray.INDArray	backprop(org.nd4j.linalg.api.ndarray.INDArray output, int miniBatchSize) Reverse the preProcess during backprop.
UnitVarianceProcessor	clone()
InputType	getOutputType(InputType inputType) For a given type of input to this preprocessor, what is the type of the output?
org.nd4j.linalg.api.ndarray.INDArray	preProcess(org.nd4j.linalg.api.ndarray.INDArray input, int miniBatchSize) Pre preProcess input/activations for a multi layer network

Methods inherited from class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor

feedForwardMaskArray

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

UnitVarianceProcessor

public UnitVarianceProcessor()

Method Detail

preProcess

public org.nd4j.linalg.api.ndarray.INDArray preProcess(org.nd4j.linalg.api.ndarray.INDArray input,
                                                       int miniBatchSize)

Description copied from interface: InputPreProcessor

Pre preProcess input/activations for a multi layer network

Parameters:

input - the input to pre preProcess

Returns:

the processed input

backprop

public org.nd4j.linalg.api.ndarray.INDArray backprop(org.nd4j.linalg.api.ndarray.INDArray output,
                                                     int miniBatchSize)

Description copied from interface: InputPreProcessor

Reverse the preProcess during backprop. Process Gradient/epsilons before passing them to the layer below.

Parameters:

output - which is a pair of the gradient and epsilon

Returns:

the reverse of the pre preProcess step (if any)

clone

public UnitVarianceProcessor clone()

Specified by:

clone in interface InputPreProcessor

Overrides:

clone in class BaseInputPreProcessor

getOutputType

public InputType getOutputType(InputType inputType)

Description copied from interface: InputPreProcessor

For a given type of input to this preprocessor, what is the type of the output?

Parameters:

inputType - Type of input for the preprocessor

Returns:

Type of input after applying the preprocessor