Files
Flux/include/modules/neural_networks/loss/Loss _CategoricalCrossentrophy.h
T
Bausager ea359f3b09 Started Loss, done softmax, up to p.125
I've implemented alot of support functions that needs to be refactored, optimised and tested; mean.h, exponential.h, matdiv.h matsum.h matsubtract.h. Maybe we need to have a look at if matdiv/matmul should be in the same. Same with matadd/matsubtract and if some of it should be in matvec.h.
2025-10-05 19:47:56 +02:00

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#pragma once
#include "./core/omp_config.h"
#include "./utils/vector.h"
#include "./utils/matrix.h"
namespace neural_networks{
template <typename Td, typename Ti>
struct Loss{
utils::Matrix<Td> sample_losses;
Td data_losses;
virtual utils::Vector<Td> forward(const utils::Matrix<Td>& output, const utils::Matrix<Ti>& y) = 0;
Td calculate(const utils::Matrix<Td>& output, const utils::Matrix<Ti>& y){
// Calculate sample losses
sample_losses = forward(output, y);
// Calculate mean loss
data_losses = numerics::mean(sample_losses);
return data_losses;
}
};
} // end namespace neural_networks