Searched refs:GRADIENT_DESCENT (Results 1 – 7 of 7) sorted by relevance
106 case GRADIENT_DESCENT: return &gradient_descent; in get_optimization_algorithm_pointer()300 if(optimization_method == GRADIENT_DESCENT) in write_optimization_method()342 if(optimization_method == GRADIENT_DESCENT) in write_optimization_method_text()512 set_optimization_method(GRADIENT_DESCENT); in set_optimization_method()770 case GRADIENT_DESCENT: in perform_training()839 case GRADIENT_DESCENT: in perform_training_void()
88 GRADIENT_DESCENT, enumerator
172 ts1.set_optimization_method(TrainingStrategy::GRADIENT_DESCENT); in test_from_XML()209 training_strategy.set_optimization_method(TrainingStrategy::GRADIENT_DESCENT); in test_save()
54 GRADIENT_DESCENT, ///< gradient descent enumerator
50 set(options C_BACKEND GRADIENT_DESCENT)72 set(GRADIENT_DESCENT "$<BOOL:${ARG_GRADIENT_DESCENT}>") variable221 -d "${GRADIENT_DESCENT}"
1422 #define GRADIENT_DESCENT in crm_neural_net_learn() macro1423 #ifdef GRADIENT_DESCENT in crm_neural_net_learn()
776 [GRADIENT_DESCENT]828 If `GRADIENT_DESCENT` is set, then the module will be built suitably for