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Merge remote-tracking branch 'origin/Delta-Error-Test' into Delta-Error-Test

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Thomas 2023-09-23 12:32:44 +02:00
commit cb88b2a397
1 changed files with 10 additions and 10 deletions
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18
neuronal_network.c
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@ -8,7 +8,7 @@ Matrix* predict(Neural_Network* network, Matrix* image_data);
double square(double input); double square(double input);
Matrix * backPropagation(double learning_rate, Matrix* weights, Matrix* biases, Matrix* current_layer_activation, Matrix* previous_layer_activation, Matrix* sigma_old); 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* new_network(int input_size, int hidden_size, int hidden_amount, int output_size, double learning_rate){
Neural_Network* network = malloc(sizeof(Neural_Network)); Neural_Network* network = malloc(sizeof(Neural_Network));
// initialize networks variables // initialize networks variables
network->hidden_size = hidden_size; network->hidden_size = hidden_size;
@ -16,14 +16,14 @@ Neural_Network* new_network(int input_size, int hidden_size, int output_size, do
network->output_size = output_size; network->output_size = output_size;
network->learning_rate = learning_rate; network->learning_rate = learning_rate;
network->weights_1 = matrix_create(hidden_size, input_size); Matrix** weights = malloc(sizeof(Matrix)*(hidden_amount + 1));
network->weights_2 = matrix_create(hidden_size, hidden_size); network->weights = weights;
network->weights_3 = matrix_create(hidden_size, hidden_size);
network->weights_output = matrix_create(output_size, hidden_size); network->weights[0] = matrix_create(hidden_size, input_size+1);
network->bias_1 = matrix_create(hidden_size, 1); for(int i=1;i<hidden_amount;i++){
network->bias_2 = matrix_create(hidden_size, 1); network->weights[i] = matrix_create(hidden_size, hidden_size+1);
network->bias_3 = matrix_create(hidden_size, 1); }
network->bias_output = matrix_create(output_size, 1); network->weights[hidden_amount] = matrix_create(output_size, hidden_size);
return network; return network;
} }