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https://github.com/BlackLight/neuralpp.git
synced 2025-07-16 11:28:07 +02:00
float -> double for everything, learning rate now always considered >= 0
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9 changed files with 110 additions and 110 deletions
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@ -10,9 +10,9 @@
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using namespace neuralpp;
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int main() {
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NeuralNet *net = new NeuralNet(2, 2, 1, -0.005, 10000);
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NeuralNet net(2, 2, 1, 0.005, 10000);
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string xml;
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float tmp;
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double tmp;
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// XML initialization. Then, I say XML that 2+3=5, 3+3=6, 5+4=9
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// Strings' format is "input1,input2,...,inputn;output1,output2,...,outputm
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@ -22,8 +22,8 @@ int main() {
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xml += NeuralNet::XMLFromSet(2, "5,4;9");
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NeuralNet::closeXML(xml);
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net->train(xml, NeuralNet::str);
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vector<float> v;
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net.train(xml, NeuralNet::str);
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vector<double> v;
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cout << "Network status: trained\n\n";
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cout << "First number to add: ";
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@ -34,9 +34,9 @@ int main() {
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cin >> tmp;
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v.push_back(tmp);
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net->setInput(v);
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net->propagate();
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cout << "Output: " << net->getOutput() << endl;
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net.setInput(v);
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net.propagate();
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cout << "Output: " << net.getOutput() << endl;
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return 0;
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}
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@ -12,11 +12,11 @@ using namespace neuralpp;
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#define NETFILE "adder.net"
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int main() {
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float a,b;
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NeuralNet *net = NULL;
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double a,b;
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NeuralNet net;
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try {
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net = new NeuralNet(NETFILE);
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net = NeuralNet(NETFILE);
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}
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catch (NetworkFileNotFoundException e) {
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@ -30,13 +30,13 @@ int main() {
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cout << "Second number to add: ";
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cin >> b;
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vector<float> v;
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vector<double> v;
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v.push_back(a);
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v.push_back(b);
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net->setInput(v);
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net->propagate();
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cout << "Neural net output: " << net->getOutput() << endl;
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net.setInput(v);
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net.propagate();
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cout << "Neural net output: " << net.getOutput() << endl;
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return 0;
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}
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@ -11,12 +11,12 @@
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using namespace neuralpp;
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int main() {
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NeuralNet *net = new NeuralNet (2, 2, 1, -0.005, 10000);
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NeuralNet net(2, 2, 1, 0.005, 10000);
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cout << "Training in progress - This may take a while...if it gets stuck, interrupt and restart the app\n";
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net->train("adder.xml", NeuralNet::file);
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net.train("adder.xml", NeuralNet::file);
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net->save("adder.net");
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net.save("adder.net");
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cout << "Network trained. You can use adder.net file now to load this network\n";
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return 0;
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}
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