Initial commit
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17
headers/file.h
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17
headers/file.h
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/* See LICENSE file for copyright and license details. */
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#ifndef _file_h_
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#define _file_h_
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typedef struct {
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FILE *file;
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char *file_name;
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} File;
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File *new_file(char *file_name);
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void free_file(File *f);
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double get_entry(File *f, int row, int col, char sep);
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int get_columns_num(File *f, int row, char sep);
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int get_rows_num(File *f);
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#endif
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17
headers/layer.h
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17
headers/layer.h
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/* See LICENSE file for copyright and license details. */
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#ifndef _layer_h_
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#define _layer_h_
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#include "../headers/perceptron.h"
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typedef struct {
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int p_num;
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Perceptron **p;
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} Layer;
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Layer *new_layer(int p_num, int i_num);
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Layer *new_input_layer(int p_num);
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void free_layer(Layer *l);
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#endif
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16
headers/neural_net.h
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16
headers/neural_net.h
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/* See LICENSE file for copyright and license details. */
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#ifndef _neural_net_h_
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#define _neural_net_h_
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#include "layer.h"
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typedef struct {
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int l_num;
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Layer **l;
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} NeuralNet;
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NeuralNet *new_neural_net(char *c_file_name, char *i_file_name);
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void free_neural_net(NeuralNet *n);
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#endif
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15
headers/perceptron.h
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15
headers/perceptron.h
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/* See LICENSE file for copyright and license details. */
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#ifndef _perceptron_h_
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#define _perceptron_h_
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typedef struct {
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int i_num;
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double *weights;
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double output;
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} Perceptron;
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Perceptron *new_perceptron(int i_num);
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void free_perceptron(Perceptron *p);
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#endif
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9
headers/training.h
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9
headers/training.h
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/* See LICENSE file for copyright and license details. */
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#ifndef _training_h_
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#define _training_h_
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void train_by_backpropagation(NeuralNet *n, int runs, double t_factor,
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char *i_name, char *t_name);
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#endif
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