NeuralNet::BCE Class Reference

#include <BCE.hpp>

Inheritance diagram for NeuralNet::BCE:

Static Public Member Functions
static double	cmpLoss (const Eigen::MatrixXd &o, const Eigen::MatrixXd &y)
static Eigen::MatrixXd	cmpLossGrad (const Eigen::MatrixXd &yHat, const Eigen::MatrixXd &y)
Static Public Member Functions inherited from NeuralNet::Loss
static double	cmpLoss (const Eigen::MatrixXd &o, const Eigen::MatrixXd &y)
	This function computes the loss of the current iteration.
static Eigen::MatrixXd	cmpLossGrad (const Eigen::MatrixXd &yHat, const Eigen::MatrixXd &y)
	This function computes the loss gradient w.r.t the outputs.

Detailed Description

Binary Cross-Entropy

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

• /github/workspace/src/NeuralNet/losses/BCE.hpp