public void SaveModel()
{
var serializer = new PerceptronModelSerializer();
var destination = "network.xml";
if (File.Exists(destination))
{
File.Delete(destination);
}
using (var fileStream = File.OpenWrite(destination))
using (var writer = new StreamWriter(fileStream))
{
serializer.Serialize(writer, _model);
}
}
public DemoRunner()
{
MnistFiles = new MNISTDatabase();
var defaultFile = new FileInfo("network.xml");
if (defaultFile.Exists)
{
var xml = defaultFile.OpenRead();
using (var textReader = new StreamReader(xml))
{
var serializer = new PerceptronModelSerializer();
_model = serializer.Deserialize(textReader);
}
}
else
{
_model = new PerceptronModel(30);
}
_classifier = new PerceptronClassifier(_model, 2, 50);
}
