#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);

void save_network(Neural_Network* network, char* file);
Neural_Network* load_network(char* file);

double predict_images(Neural_Network* network, Image** images, int amount) {
    int num_correct = 0;
    for (int i = 0; i < amount; i++) {
        Matrix* prediction = predict_image(network, images[i]);
        if (matrix_argmax(prediction) == images[i]->image_label) {
            num_correct++;
        }
        matrix_free(prediction);
    }
    return 1.0 * num_correct / amount;
}
Matrix* predict_image(Neural_Network* network, Image*);

Matrix* predict(Neural_Network* network, Matrix* image_data) {
    Matrix* hidden1_inputs = dot(network->weights_1, image_data);
    Matrix* hidden1_outputs = apply(relu, hidden1_inputs);

    Matrix* hidden2_inputs = dot(network->weights_2, hidden1_outputs);
    Matrix* hidden2_outputs = apply(relu, hidden2_inputs);


    Matrix* final_inputs = dot(net->output_weights, hidden_outputs);
    Matrix* final_outputs = apply(sigmoid, final_inputs);
    Matrix* result = softmax(final_outputs);

    matrix_free(hidden_inputs);
    matrix_free(hidden_outputs);
    matrix_free(final_inputs);
    matrix_free(final_outputs);

    return result;
}

void train_network(Neural_Network* network, Matrix* input, Matrix* output);
void batch_train_network(Neural_Network* network, Image** images, int size);