NeuralNetwork Class Reference

A slightly better neural network. More...

#include <neuralnetwork.h>

List of all members.

Public Member Functions
	NeuralNetwork (std::string file="")
	Loads a neural network from a file if specified.
void	reset (std::vector< int > geometry)
	Creates a fresh network with given input and hidden layer sizes) The output layer is always a single neuron). geometry[i] stores the size of the ith layer (not counting the bias unit) The last integer is the size of the last hidden layer.
bool	fromFile (std::string file)
	Loads a network from a file. Returns true if it succeded.
bool	toFile (std::string file)
	Save the current network to a file.
double	train (Corpus &c, double rate, double regularization, int nbIter, bool debug=false)
	Train the network on a corpus.
double	classify (std::vector< double > input)
	Get the output of the network on a given input.
double	accuracy (Corpus &c)
	See how well the network does on a given corpus (between 0, not accurate, and 1, accurate)
void	randomize ()
	Randomize the weights of the network.
unsigned int	nbLayers ()
	Parameters.
unsigned int	dimension ()
	Input dimension of the network (size of the input layer)

Friends
class	boost::serialization::access
	Internal usage : for load and save.

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Detailed Description

A slightly better neural network.

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Member Function Documentation

unsigned int NeuralNetwork::dimension

(

)

Input dimension of the network (size of the input layer)

Return the input dimension of the network.

unsigned int NeuralNetwork::nbLayers ( )

inline

Parameters.

Number of layers of the network (hidden layers + output layer)

void NeuralNetwork::reset

(

std::vector< int >

geometry

)

Creates a fresh network with given input and hidden layer sizes) The output layer is always a single neuron). geometry[i] stores the size of the ith layer (not counting the bias unit) The last integer is the size of the last hidden layer.

Creates a fresh network with given input and hidden layer sizes (the output layer is always a single neuron)

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

• include/algo/neuralnetwork.h
• src/algo/neuralnetwork.cpp