org.ea.javacnn.layers

Class InputLayer

java.lang.Object

org.ea.javacnn.layers.InputLayer

All Implemented Interfaces:

java.io.Serializable, Layer

public class InputLayer
extends java.lang.Object
implements Layer, java.io.Serializable

The input layer is a simple layer that will pass the data though and create a window into the full training data set. So for instance if we have an image of size 28x28x1 which means that we have 28 pixels in the x axle and 28 pixels in the y axle and one color (gray scale), then this layer might give you a window of another size example 24x24x1 that is randomly chosen in order to create some distortion into the dataset so the algorithm don't over-fit the training.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
InputLayer(OutputDefinition def, int out_sx, int out_sy, int out_depth)

Method Summary

Modifier and Type	Method and Description
void	backward()
DataBlock	forward(DataBlock db, boolean training)
java.util.List<BackPropResult>	getBackPropagationResult()

Methods inherited from class java.lang.Object

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

Constructor Detail

InputLayer

public InputLayer(OutputDefinition def,
                  int out_sx,
                  int out_sy,
                  int out_depth)

Method Detail

forward

public DataBlock forward(DataBlock db,
                         boolean training)

Specified by:

forward in interface Layer

backward

public void backward()

Specified by:

backward in interface Layer

getBackPropagationResult

public java.util.List<BackPropResult> getBackPropagationResult()

Specified by:

getBackPropagationResult in interface Layer