Public Member Functions
	denseLayer ()
	empty constructor

	denseLayer (const std::string &weights_file, const std::string &biases_file, const std::function< double(double)> &f, const std::function< double(double)> &df)

void	readFromFile (const std::string &weights_file, const std::string &biases_file)
	read data from file

void	setActivationFunction (const std::function< double(double)> &f, const std::function< double(double)> &df)
	setup activation function

void	compute (const std::vector< double > &input, std::vector< double > &output) const
	compute the value of this layer

double	computeGradientElement (const std::vector< double > &input, const size_t i, const size_t j) const
	compute the gradient of i-th output wrt j-th input

void	computeGradient (const std::vector< double > &input, std::vector< std::vector< double > > &output_grad) const
	output[i][j] is the gradient of i-th output wrt j-th input

size_t	getInputSize () const
	get the input size

size_t	getOutputSize () const
	get the output size

double	getWeight (size_t i, size_t j) const
	getter for weights and biases

double	getBias (size_t i) const

Private Attributes
size_t	m_input_size

size_t	m_output_size

std::function< double(double)>	m_activation_function

std::function< double(double)>	m_activation_function_derivative

std::vector< std::vector< double > >	m_weights
	weights[i][j] is the weight of the i-th output and the j-th input

std::vector< double >	m_biases
	bias of each node

Static Private Attributes
static const bool	m_use_custom_activation = false

Constructor & Destructor Documentation

◆ denseLayer()

neuralnetworkCV::denseLayer::denseLayer	(	const std::string &	weights_file,
		const std::string &	biases_file,
		const std::function< double(double)> &	f,
		const std::function< double(double)> &	df
	)

Parameters

[in]	weights_file	filename of the weights file
[in]	biases_file	filename of the biases file
[in]	f	activation function
[in]	df	derivative of the activation function

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