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/*
* Copyright 1994-2012 Olivier Girondel
*
* This file is part of lebiniou.
*
* lebiniou is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 2 of the License, or
* (at your option) any later version.
*
* lebiniou is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with lebiniou. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef __BINIOU_PERCEPTRON_H
#define __BINIOU_PERCEPTRON_H
#include "utils.h"
typedef struct Perceptron_s {
int layers; /* total number of layers in the network */
int *npl; /* number of neurons per layer */
float ***Weights; /* Weight[l,i,j]: Wij (layer l-1 -> l) */
float **Activity; /* Activity[l,i]: activity of neuron 'i' on layer 'l' */
float **Error; /* Error[l,i]: error on the neuron 'i' on layer 'l' */
float ***dWeights; /* for the back-propagation */
GRand *grand; /* PRNG */
} Perceptron_t;
Perceptron_t *Perceptron_new(int, int *, float);
void Perceptron_delete(Perceptron_t *);
void Perceptron_init(Perceptron_t *, float);
float Perceptron_FF(const Perceptron_t *, float *);
void Perceptron_BP(Perceptron_t *, float, float, float);
void Perceptron_save(const Perceptron_t *, const char *);
void Perceptron_load(Perceptron_t *, const char *);
#endif /* __BINIOU_PERCEPTRON_H */
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