org.deeplearning4j.nn.conf.preprocessor

Class CnnToFeedForwardPreProcessor

java.lang.Object

org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor

All Implemented Interfaces:

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

Direct Known Subclasses:

TensorFlowCnnToFeedForwardPreProcessor

public class CnnToFeedForwardPreProcessor
extends java.lang.Object
implements InputPreProcessor

A preprocessor to allow CNN and standard feed-forward network layers to be used together.
For example, CNN -> Denselayer
This does two things:
(b) Reshapes 4d activations out of CNN layer, with shape [numExamples, numChannels, inputHeight, inputWidth]) into 2d activations (with shape [numExamples, inputHeight*inputWidth*numChannels]) for use in feed forward layer (a) Reshapes epsilons (weights*deltas) out of FeedFoward layer (which is 2D or 3D with shape [numExamples, inputHeight*inputWidth*numChannels]) into 4d epsilons (with shape [numExamples, numChannels, inputHeight, inputWidth]) suitable to feed into CNN layers.
Note: numChannels is equivalent to depth or featureMaps referenced in different literature

See Also:

for opposite case (i.e., DenseLayer -> CNNetc), Serialized Form

Constructor Summary

Constructors

Constructor and Description
CnnToFeedForwardPreProcessor()
CnnToFeedForwardPreProcessor(int inputHeight, int inputWidth)
CnnToFeedForwardPreProcessor(int inputHeight, int inputWidth, int numChannels)

Method Summary

Modifier and Type	Method and Description
org.nd4j.linalg.api.ndarray.INDArray	backprop(org.nd4j.linalg.api.ndarray.INDArray epsilons, int miniBatchSize) Reverse the preProcess during backprop.
CnnToFeedForwardPreProcessor	clone()
Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState>	feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray, MaskState currentMaskState, int minibatchSize)
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 java.lang.Object

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

Constructor Detail

CnnToFeedForwardPreProcessor

public CnnToFeedForwardPreProcessor(int inputHeight,
                                    int inputWidth,
                                    int numChannels)

Parameters:

inputHeight - the columns

inputWidth - the rows

numChannels - the channels

CnnToFeedForwardPreProcessor

public CnnToFeedForwardPreProcessor(int inputHeight,
                                    int inputWidth)

CnnToFeedForwardPreProcessor

public CnnToFeedForwardPreProcessor()

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

Specified by:

preProcess in interface InputPreProcessor

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 epsilons,
                                                     int miniBatchSize)

Description copied from interface: InputPreProcessor

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

Specified by:

backprop in interface InputPreProcessor

Parameters:

epsilons - which is a pair of the gradient and epsilon

Returns:

the reverse of the pre preProcess step (if any)

clone

public CnnToFeedForwardPreProcessor clone()

Specified by:

clone in interface InputPreProcessor

Overrides:

clone in class java.lang.Object

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?

Specified by:

getOutputType in interface InputPreProcessor

Parameters:

inputType - Type of input for the preprocessor

Returns:

Type of input after applying the preprocessor

feedForwardMaskArray

public Pair<org.nd4j.linalg.api.ndarray.INDArray,MaskState> feedForwardMaskArray(org.nd4j.linalg.api.ndarray.INDArray maskArray,
                                                                                 MaskState currentMaskState,
                                                                                 int minibatchSize)

Specified by:

feedForwardMaskArray in interface InputPreProcessor