Class representing the Categorical Cross Entropy. More...

#include <loss.h>

Inheritance diagram for CategoricalCrossEntropy:

Public Member Functions
sTensor	calculateLoss (const sTensor &targets, const sTensor &predictions) override

std::string	getShortName () const override
	Short string identifier of the metric. More...

Public Member Functions inherited from Loss
	Loss ()
	Constructor for the Loss class. More...

float	calculateMetric (const sTensor &targets, const sTensor &predictions) override
	Defines the method inherited from abstract Metric parent. More...

Public Member Functions inherited from Metric
	Metric ()
	Constructor for the Metric class. More...

void	reset ()
	Reset the metric, i.e.: set `numSamples` and `currentTotalMetric` to 0.

Additional Inherited Members
Protected Attributes inherited from Metric
size_t	numSamples
	The number of samples processed so far.

float	currentTotalMetric
	The current total value of the metric.

Detailed Description

Class representing the Categorical Cross Entropy.

This loss expects the targets to be in shape (batchSize, numClasses), where each row contains only a single 1 and numClasses - 1 0s.

The sum of predictions doesn't have to be 1. The sum will be auto-normalized when calculating the loss and the derivatives.

Member Function Documentation

std::string CategoricalCrossEntropy::getShortName ( ) const

overridevirtual

Short string identifier of the metric.

Used when printing the value of the metric to the terminal.

Implements Metric.

The documentation for this class was generated from the following files: