TestMinimization.h File Reference

#include "TMatrix.h"
#include "TMVA/DNN/Minimizers.h"
#include "TMVA/DNN/Net.h"
#include "Utility.h"

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Functions
template<typename Architecture >
auto	testMinimization () -> typename Architecture::Scalar_t
	Train a linear neural network on a randomly generated linear mapping from a 20-dimensional input space to a 1-dimensional output space. More...
template<typename Architecture >
auto	testMinimizationMomentum () -> typename Architecture::Scalar_t
	Similar to testMinimization() as the function above except that it uses momentum for the training. More...

Function Documentation

testMinimization()

template<typename Architecture >

auto testMinimization

(

)

-> typename Architecture::Scalar_t

Train a linear neural network on a randomly generated linear mapping from a 20-dimensional input space to a 1-dimensional output space.

Returns the error of the response of the network to the input containing only ones to the 1x20 matrix generating the mapping.

Definition at line 34 of file TestMinimization.h.

testMinimizationMomentum()

template<typename Architecture >

auto testMinimizationMomentum

(

)

-> typename Architecture::Scalar_t

Similar to testMinimization() as the function above except that it uses momentum for the training.

Definition at line 80 of file TestMinimization.h.