rawalcher/c-net
Archived
1
0
Fork 0
Code Issues 5 Pull requests Projects Releases 2 Packages Wiki Activity Actions

holy fk

Browse source
This commit is contained in:
Ghost_Element 2023-09-23 12:31:59 +02:00
parent 4682ec6c97
commit 8ebb1f7640
1 changed files with 10 additions and 10 deletions
Download patch file Download diff file Expand all files Collapse all files

20
neuronal_network.c
View file

@ -8,22 +8,22 @@ Matrix* predict(Neural_Network* network, Matrix* image_data);
double square(double input);
Matrix * backPropagation(double learning_rate, Matrix* weights, Matrix* biases, Matrix* current_layer_activation, Matrix* previous_layer_activation, Matrix* sigma_old);
Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate){
Neural_Network *network = malloc(sizeof(Neural_Network));
Neural_Network* new_network(int input_size, int hidden_size, int hidden_amount, int output_size, double learning_rate){
Neural_Network* network = malloc(sizeof(Neural_Network));
// initialize networks variables
network->hidden_size = hidden_size;
network->input_size = input_size;
network->output_size = output_size;
network->learning_rate = learning_rate;
network->weights_1 = matrix_create(hidden_size, input_size);
network->weights_2 = matrix_create(hidden_size, hidden_size);
network->weights_3 = matrix_create(hidden_size, hidden_size);
network->weights_output = matrix_create(output_size, hidden_size);
network->bias_1 = matrix_create(hidden_size, 1);
network->bias_2 = matrix_create(hidden_size, 1);
network->bias_3 = matrix_create(hidden_size, 1);
network->bias_output = matrix_create(output_size, 1);
Matrix** weights = malloc(sizeof(Matrix)*(hidden_amount + 1));
network->weights = weights;
network->weights[0] = matrix_create(hidden_size, input_size+1);
for(int i=1;i<hidden_amount;i++){
network->weights[i] = matrix_create(hidden_size, hidden_size+1);
}
network->weights[hidden_amount] = matrix_create(output_size, hidden_size);
return network;
}