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neuroal_network.c

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new_network
print_network - not needed
free_network
This commit is contained in:
Ghost_Element 2023-09-19 14:47:18 +02:00
parent 13540377ff
commit b097f30d64
2 changed files with 35 additions and 5 deletions
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38
neuronal_network.c
View file

@ -1,9 +1,39 @@
#include <stdlib.h>
#include "neuronal_network.h"
Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate);
void print_network(Neural_Network* network);
void free_network(Neural_Network* network);
Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate){
Neural_Network network = malloc(sizeof(Neural_Network));
// initialize networks variables
network.input_size = input_size;
network.hidden_size = hidden_size;
network.output_size = output_size;
network.learning_rate = learning_rate;
network.weights_1 = matrix_randomize(matrix_create(hidden_size, input_size));
network.weights_2 = matrix_randomize(matrix_create(hidden_size, hidden_size));
network.weights_3 = matrix_randomize(matrix_create(hidden_size, hidden_size));
network.weights_output = matrix_randomize(matrix_create(output_size, hidden_size));
network.bias_1 = matrix_randomize(matrix_create(hidden_size, 1));
network.bias_2 = matrix_randomize(matrix_create(hidden_size, 1));
network.bias_3 = matrix_randomize(matrix_create(hidden_size, 1));
//network.bias_output = matrix_create(output_size, 1); // do we need it?
return network;
}
//void print_network(Neural_Network* network){};
void free_network(Neural_Network* network){
matrix_free(network->weights_1);
matrix_free(network->weights_2);
matrix_free(network->weights_3);
matrix_free(network->weights_output);
matrix_free(network->bias_1);
matrix_free(network->bias_2);
matrix_free(network->bias_3);
free(network);
}
void save_network(Neural_Network* network, char* file);
Neural_Network* load_network(char* file);

2
neuronal_network.h
View file

@ -26,7 +26,7 @@ typedef struct {
} Neural_Network;
Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate);
void print_network(Neural_Network* network);
//void print_network(Neural_Network* network);
void free_network(Neural_Network* network);
void save_network(Neural_Network* network, char* file);