#include <shark/Data/Dataset.h>#include <shark/Data/DataDistribution.h>#include <shark/Models/FFNet.h>#include <shark/Algorithms/GradientDescent/Rprop.h>#include <shark/ObjectiveFunctions/ErrorFunction.h>#include <shark/ObjectiveFunctions/Loss/CrossEntropy.h>#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>Go to the source code of this file.
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Definition at line 32 of file FFNNMultiClassCrossEntropy.cpp.
References shark::ZeroOneLoss< unsigned int, RealVector >::eval(), shark::IRpropPlus::init(), shark::initRandomUniform(), shark::inputDimension(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), shark::numberOfClasses(), shark::ResultSet< SearchPointT, ResultT >::point, shark::FFNet< HiddenNeuron, OutputNeuron >::setParameterVector(), shark::FFNet< HiddenNeuron, OutputNeuron >::setStructure(), shark::AbstractSingleObjectiveOptimizer< PointType >::solution(), and shark::IRpropPlus::step().