Package deepnetts.net.loss

Class CrossEntropyLoss

java.lang.Object

deepnetts.net.loss.CrossEntropyLoss

All Implemented Interfaces:

LossFunction, Serializable

public class CrossEntropyLoss
extends Object
implements LossFunction, Serializable

Average Cross Entropy Loss function commonly used for multi class classification problems. E = -1/n * SUM(SUM(t*ln(y))) Since its 1-of-n classification scheme, all outputs but target are zeros so it comes down to E = -1/n * SUM(ln(y_targetIdx))

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
CrossEntropyLoss(NeuralNetwork neuralNet)

Method Summary

Modifier and Type	Method	Description
float[]	addPatternError(float[] predictedOut, float[] targetOut)	Calculates and returns outpurt error vector for specified predicted and target outputs.
TensorBase	addPatternError(TensorBase predictedOut, TensorBase targetOut)
void	addRegularizationSum(float regSum)	Adds specified regularization sum to total loss.
float	getPatternLoss()
float	getTotal()	Returns the total error calculated by this loss function.
void	reset()	Resets the total error and pattern counter.

Methods inherited from class java.lang.Object

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

Methods inherited from interface deepnetts.net.loss.LossFunction

valueFor

Constructor Details

CrossEntropyLoss

public CrossEntropyLoss(NeuralNetwork neuralNet)

Method Details

addPatternError

public float[] addPatternError(float[] predictedOut,
 float[] targetOut)

Calculates and returns outpurt error vector for specified predicted and target outputs.

Specified by:

addPatternError in interface LossFunction

Parameters:

predictedOut - predicted output from the neural network

targetOut - target/desired output of the neural network

Returns:

error vector for specified actual and target outputs

addPatternError

public TensorBase addPatternError(TensorBase predictedOut,
 TensorBase targetOut)

Specified by:

addPatternError in interface LossFunction

getPatternLoss

public float getPatternLoss()

Specified by:

getPatternLoss in interface LossFunction

addRegularizationSum

public void addRegularizationSum(float regSum)

Description copied from interface: LossFunction

Adds specified regularization sum to total loss.

Specified by:

addRegularizationSum in interface LossFunction

Parameters:

regSum - regularization sum

getTotal

public float getTotal()

Description copied from interface: LossFunction

Returns the total error calculated by this loss function.

Specified by:

getTotal in interface LossFunction

Returns:

total error calculated by this loss function

reset

public void reset()

Description copied from interface: LossFunction

Resets the total error and pattern counter.

Specified by:

reset in interface LossFunction