optimizer.h File Reference

#include <functional>
#include "json.h"
#include "tensor_utilities.h"
#include "thread_safe_queue.h"

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Classes
class	opennn::Optimizer
	Abstract base class for training optimizers (Adam, SGD, Quasi-Newton, Levenberg-Marquardt). More...
struct	opennn::Optimizer::EpochStats
	Aggregated per-epoch error and accuracy returned by training/evaluation passes. More...
struct	opennn::OptimizerData
	Per-optimizer scratch state (moments, directions, iteration counter) backing the update step. More...
struct	opennn::TrainingResults
	History and final metrics produced by a training run. More...

Namespaces
namespace	opennn

Variables
constexpr float	opennn::GRADIENT_NORM_EPS = 1e-6f