#include <shark/Data/Dataset.h>#include <shark/Data/Csv.h>#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>#include <shark/Models/FFNet.h>#include <shark/ObjectiveFunctions/Loss/CrossEntropy.h>#include <shark/ObjectiveFunctions/ErrorFunction.h>#include <shark/Algorithms/GradientDescent/Rprop.h>#include <shark/Algorithms/StoppingCriteria/MaxIterations.h>#include <shark/Algorithms/Trainers/OptimizationTrainer.h>Go to the source code of this file.
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| int main | ( | ) |
Definition at line 16 of file VersatileClassificationTutorial-Network.cpp.
References shark::importCSV(), shark::initRandomUniform(), shark::inputDimension(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), shark::LAST_COLUMN, shark::OptimizationTrainer< Model, LabelTypeT >::name(), shark::ZeroOneLoss< unsigned int, RealVector >::name(), shark::LabeledData< InputT, LabelT >::numberOfElements(), shark::splitAtElement(), and shark::OptimizationTrainer< Model, LabelTypeT >::train().