45 lines
No EOL
1.5 KiB
C
45 lines
No EOL
1.5 KiB
C
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#include "neuronal_network.h"
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Neural_Network* new_network(int input_size, int hidden_size, int output_size, double learning_rate);
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void print_network(Neural_Network* network);
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void free_network(Neural_Network* network);
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void save_network(Neural_Network* network, char* file);
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Neural_Network* load_network(char* file);
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double predict_images(Neural_Network* network, Image** images, int amount) {
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int num_correct = 0;
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for (int i = 0; i < amount; i++) {
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Matrix* prediction = predict_image(network, images[i]);
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if (matrix_argmax(prediction) == images[i]->image_label) {
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num_correct++;
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}
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matrix_free(prediction);
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}
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return 1.0 * num_correct / amount;
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}
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Matrix* predict_image(Neural_Network* network, Image*);
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Matrix* predict(Neural_Network* network, Matrix* image_data) {
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Matrix* hidden1_inputs = dot(network->weights_1, image_data);
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Matrix* hidden1_outputs = apply(relu, hidden1_inputs);
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Matrix* hidden2_inputs = dot(network->weights_2, hidden1_outputs);
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Matrix* hidden2_outputs = apply(relu, hidden2_inputs);
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Matrix* final_inputs = dot(net->output_weights, hidden_outputs);
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Matrix* final_outputs = apply(sigmoid, final_inputs);
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Matrix* result = softmax(final_outputs);
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matrix_free(hidden_inputs);
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matrix_free(hidden_outputs);
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matrix_free(final_inputs);
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matrix_free(final_outputs);
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return result;
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}
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void train_network(Neural_Network* network, Matrix* input, Matrix* output);
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void batch_train_network(Neural_Network* network, Image** images, int size); |