public void CanBackProp()
{
CNNet net = new CNNet();
string toFile = pathToData + @"somaset\TrainData\1\im0002.jpg";
var pic = JpegToData(toFile).picture;
var testVector = PrepareData(pic, 128);
var ideal = new double[] { 0.8 };
var actual = net.GetResult(testVector);
Console.WriteLine($"Loss = {net.LossFunction(ideal)}");
net.BackPropagation(ideal);
actual = net.GetResult(testVector);
Console.WriteLine($"Loss = {net.LossFunction(ideal)}");
}
public void CanSaveAndLoadCorrectly()
{
string toFile = pathToData + @"somaset\TrainData\1\im0002.jpg";
CNNet network = new CNNet();
var pic = JpegToData(toFile).picture;
var testVector = PrepareData(pic, 128);
var expected = network.GetResult(testVector);
File.WriteAllText(pathToData + @"somaset\CanSaveAndLoadCorrectly.json", network.Save());
CNNet newnet = new CNNet(File.ReadAllText(pathToData + @"somaset\CanSaveAndLoadCorrectly.json"));
var actual = newnet.GetResult(testVector);
Assert.That.AreEqual(expected, actual);
}