nnet-training.h File Reference

#include "nnet3/nnet-example.h"
#include "nnet3/nnet-computation.h"
#include "nnet3/nnet-compute.h"
#include "nnet3/nnet-optimize.h"
#include "nnet3/nnet-example-utils.h"
#include "nnet3/nnet-utils.h"

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Classes
struct	NnetTrainerOptions
struct	ObjectiveFunctionInfo
class	NnetTrainer
	This class is for single-threaded training of neural nets using standard objective functions such as cross-entropy (implemented with logsoftmax nonlinearity and a linear objective function) and quadratic loss. More...

Namespaces
	kaldi
	This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:
	kaldi::nnet3

Functions
void	ComputeObjectiveFunction (const GeneralMatrix &supervision, ObjectiveType objective_type, const std::string &output_name, bool supply_deriv, NnetComputer *computer, BaseFloat *tot_weight, BaseFloat *tot_objf)
	This function computes the objective function, and if supply_deriv = true, supplies its derivative to the NnetComputation object. More...