SANN: Sushi Artificial Neural Network
This is a short library for a simple but efficient neural network
Public Member Functions | List of all members
sann::Estimator Class Referenceabstract

#include <Estimator.hpp>

Inheritance diagram for sann::Estimator:
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Public Member Functions

virtual void init (const std::size_t epoch)=0
 
virtual bool stoppingCriteria ()=0
 
virtual void update (const std::vector< double > &out, const std::vector< double > &expected)=0
 
virtual void plot ()=0
 
virtual void terminate ()=0
 

Detailed Description

This class is the interface for the estimators used in the training phase. It needs to monitor the training phase wrt data. This class has four important method:


The documentation for this class was generated from the following file: