int main(){ Mnist_Parser m; m.load_testing(); m.load_training(); vec2d_t x; vec_t y; vec2d_t test_x; vec_t test_y; for (size_t i = 0; i < 60000; i++){ x.push_back(m.train_sample[i]->image); y.push_back(m.train_sample[i]->label); } for (size_t i = 0; i < 10000; i++){ test_x.push_back(m.test_sample[i]->image); test_y.push_back(m.test_sample[i]->label); } LogisticRegression l(x, y); l.train(); l.test(test_x, test_y); getchar(); return 0; }
int main(){ Mnist_Parser m; m.load_testing(); LeNet5* network = new LeNet5(); std::cout << "start training" << std::endl; network -> train(m.test_sample, 60000); getchar(); return 0; }