optimizer.h File Reference

#include <array>
#include <functional>
#include "opennn/dataset/batch.h"
#include "opennn/core/device_backend.h"
#include "opennn/network/forward_propagation.h"
#include "opennn/core/json.h"
#include "opennn/training/loss.h"
#include "opennn/training/training_context.h"
#include "opennn/core/tensor_types.h"
#include "opennn/core/thread_safe_queue.h"
#include "opennn/training/training_result.h"

Go to the source code of this file.

Classes
struct	opennn::OptimizerData
class	opennn::Optimizer
struct	opennn::Optimizer::TrainingSession
struct	opennn::Optimizer::TrainingSession::GraphPipeline
struct	opennn::Optimizer::TrainingSession::TailContext
struct	opennn::Optimizer::EpochReport
struct	opennn::Optimizer::BestModelSnapshot
struct	opennn::Optimizer::FullBatchContext
struct	opennn::Optimizer::FullBatchStep
struct	opennn::Optimizer::FullBatchHooks

Namespaces
namespace	opennn

Functions
unique_ptr< Optimizer >	opennn::create_optimizer (const string &name)

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