neuralnetworkCV::neuralNetworkCompute Class Reference

Public Member Functions
	neuralNetworkCompute (const std::vector< denseLayer > &dense_layers)
bool	addDenseLayer (const denseLayer &layer)
const std::vector< double > &	input () const
std::vector< double > &	input ()
void	compute ()
	compute the values and the gradients of all output nodes
double	getOutput (const size_t i) const
double	getGradient (const size_t i, const size_t j) const
const denseLayer &	getLayer (const size_t i) const
	get a specified layer
size_t	getNumberOfLayers () const
	get the number of layers

Static Private Member Functions
static std::vector< std::vector< double > >	multiply_matrix (const std::vector< std::vector< double > > &A, const std::vector< std::vector< double > > &B)
	helper function: multiply two matrix constructed from 2D vector

Private Attributes
std::vector< denseLayer >	m_dense_layers
std::vector< double >	m_input
std::vector< std::vector< double > >	m_layers_output
	temporary output for each layer, useful to speedup the gradients' calculation
std::vector< std::vector< std::vector< double > > >	m_grads_tmp
std::vector< std::vector< double > >	m_chained_grad

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The documentation for this class was generated from the following files:

• colvar_neuralnetworkcompute.h
• colvar_neuralnetworkcompute.cpp