#include <ctime>
#include "layer.all.inc.cpp"
#include "layer.all.test.inc.cpp"
#include "train.digit.inc.cpp"
bool runTests() {
if (!AllTest::test()) return false;
return printf("success\n"), true;
}
int main() {
srand(time(NULL));
//return !runTests();
#define FILENAME "data/output/weights.bin" // 28x28
printf("create neural network\n");
Layer l(nullptr, Layout(28, 28)); l.filename = FILENAME "1";
//(new LayerSimple<funcSigmoidExp>(l, Layout(256)))->filename = FILENAME "2";
//(new LayerSimple<funcSigmoidExp>(l, Layout(64)))->filename = FILENAME "3";
//(new LayerSimple<funcSigmoidExp>(l, Layout(128)))->filename = FILENAME "4";
//(new LayerSimple<funcSigmoidExp>(l, Layout(64)))->filename = FILENAME "5";
//(new LayerSimple<funcSigmoidExp>(l, Layout(128)))->filename = FILENAME "5";
(new LayerSimple<funcSigmoidExp>(l, Layout(32)))->filename = FILENAME "6";
//(new LayerSimple<funcSigmoidExp>(l, Layout(16)))->filename = FILENAME "7";
(new LayerSimple<funcSigmoidExp>(l, Layout(10)))->filename = FILENAME "8";
l.sumStat().print();
printf("load training data\n");
TrainerDigit t;
if (!t.loadSymbolMap("data/symbols-data.bin")) return 1;
//printf("try load previously saved network\n"); l.load();
printf("train\n");
t.configure(l, 0.5, 4, 1000000, 0, 0, 0.0000001).run();
return 0;
}