#include <shark/Models/LinearModel.h>#include <shark/Models/ConcatenatedModel.h>#include <shark/ObjectiveFunctions/ErrorFunction.h>#include <shark/ObjectiveFunctions/Loss/CrossEntropy.h>#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>#include <shark/Algorithms/GradientDescent/Adam.h>#include <shark/Data/SparseData.h>Go to the source code of this file.
Functions | |
| int | main (int argc, char **argv) |
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
Definition at line 12 of file FFNNBasicTutorial.cpp.
References shark::batchSize(), shark::ZeroOneLoss< unsigned int, RealVector >::eval(), shark::importSparseData(), shark::Adam::init(), shark::ErrorFunction::init(), shark::initRandomNormal(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::inputShape(), shark::LabeledData< InputT, LabelT >::labels(), shark::numberOfClasses(), shark::LabeledData< InputT, LabelT >::numberOfElements(), shark::ResultSet< SearchPointT, ResultT >::point, shark::LabeledData< InputT, LabelT >::shuffle(), shark::AbstractSingleObjectiveOptimizer< PointType >::solution(), shark::splitAtElement(), shark::Adam::step(), and shark::ResultSet< SearchPointT, ResultT >::value.