blacklight/neuralpp
1
0
Fork 0
mirror of https://github.com/BlackLight/neuralpp.git synced 2025-07-24 14:28:54 +02:00
Code Issues Projects Releases Packages Wiki Activity

Making everything cooler

Browse source
This commit is contained in:
blacklight 2009-08-16 19:25:58 +02:00
parent 458eab5e99
commit d52976e74e
7 changed files with 41 additions and 21 deletions

22
include/neural++.hpp
View file

@ -28,7 +28,7 @@
#define RAND (double) ( (rand() / (RAND_MAX/2)) - 1)
//! Initial value for the inertial momentum of the synapses
#define BETA0 0.8
#define BETA0 1.0
/**
* @namespace neuralpp
@ -108,7 +108,8 @@ namespace neuralpp {
* 'sensitive' on variations of the input values
* @param a Activation function to use (default: f(x)=x)
*/
NeuralNet (size_t in_size, size_t hidden_size, size_t out_size, double l, int e, double th = 0.0, double (*a)(double) = __actv);
NeuralNet (size_t in_size, size_t hidden_size, size_t out_size, double l,
int e, double th = 0.0, double (*a)(double) = __actv);
/**
* @brief Constructor
@ -117,23 +118,6 @@ namespace neuralpp {
*/
NeuralNet (const std::string file) throw(NetworkFileNotFoundException);
/**
* @brief Constructor
* @param in_size Size of the input layer
* @param hidden_size Size of the hidden layer
* @param out_size Size of the output layer
* @param actv Activation function to use (default: f(x)=x)
* @param l learn rate (get it after doing some experiments, but generally try to
* keep its value quite low to be more accurate)
* @param e Epochs (cycles) to execute (the most you execute, the most the network
* can be accurate for its purpose)
* @param th Threshold, value in [0,1] that establishes how much a neuron must be
* 'sensitive' on variations of the input values
*/
//NeuralNet (size_t in_size, size_t hidden_size, size_t out_size,
// double(*actv)(double), double l, int e, double th);
/**
* @brief It gets the output of the network (note: the layer output should contain
* an only neuron)