org.deeplearning4j.nn.conf.preprocessor

Class BinomialSamplingPreProcessor

java.lang.Object

org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor

org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor

All Implemented Interfaces:

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

public class BinomialSamplingPreProcessor
extends BaseInputPreProcessor

Binomial sampling pre processor

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinomialSamplingPreProcessor()

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.
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

clone, feedForwardMaskArray

Methods inherited from class java.lang.Object

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

Constructor Detail

BinomialSamplingPreProcessor

public BinomialSamplingPreProcessor()

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)

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