DenoisingAutoencoderTutorial.cpp File Reference
#include <shark/Data/Pgm.h>
#include <shark/Data/SparseData.h>
#include <shark/Models/Autoencoder.h>
#include <shark/Models/TiedAutoencoder.h>
#include <shark/Models/ConcatenatedModel.h>
#include <shark/ObjectiveFunctions/ErrorFunction.h>
#include <shark/Algorithms/GradientDescent/Rprop.h>
#include <shark/ObjectiveFunctions/Loss/SquaredLoss.h>
#include <shark/ObjectiveFunctions/Regularizer.h>

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Functions

template<class AutoencoderModel >
AutoencoderModel trainAutoencoderModel (UnlabeledData< RealVector > const &data, std::size_t numHidden, std::size_t iterations, double regularisation, double noiseStrength)
 
int main (int argc, char **argv)
 

Function Documentation

◆ main()

◆ trainAutoencoderModel()