public void SimpleNet_OneIter_Dropout()
{
// arrange
var drate = 0.5D;
var dseed = 1;
var net = Mocks.SimpleLinearNetworkWithDropout(drate, dseed);
var sample = new ClassifiedSample <double[]>();
var point = new[] { 1.0D };
var cls = new Class("a", 0);
sample[point] = cls;
var alg = new BackpropAlgorithm(sample, net);
alg.LearningRate = 2.0D;
alg.LossFunction = Loss.Euclidean;
// act
alg.RunIteration(point, cls);
// assert
Assert.AreEqual(12, net[0][0].Value);
Assert.AreEqual(66, net[1][0].Value);
Assert.AreEqual(-128, net[2][0].Value);
Assert.AreEqual(3, net[0][0].Derivative);
Assert.AreEqual(3 / drate, net[1][0].Derivative);
Assert.AreEqual(2, net[2][0].Derivative);
Assert.AreEqual(-129 * 2, alg.Errors[2][0]);
Assert.AreEqual(-1 * (-258) * 3 / drate, alg.Errors[1][0]);
Assert.AreEqual(1548 * 3, alg.Errors[0][0]);
Assert.AreEqual(-258 * 66, alg.Gradient[2][0, 0]);
AssertNetGradient(alg, point, 2, 0, 0);
Assert.AreEqual(-258, alg.Gradient[2][0, 1]);
AssertNetGradient(alg, point, 2, 0, 1);
Assert.AreEqual(1548 * 12, alg.Gradient[1][0, 0]);
AssertNetGradient(alg, point, 1, 0, 0);
Assert.AreEqual(1548, alg.Gradient[1][0, 1]);
AssertNetGradient(alg, point, 1, 0, 1);
Assert.AreEqual(4644 * 1, alg.Gradient[0][0, 0]);
AssertNetGradient(alg, point, 0, 0, 0);
Assert.AreEqual(4644, alg.Gradient[0][0, 1]);
AssertNetGradient(alg, point, 0, 0, 1);
// act
alg.FlushGradient();
// assert
Assert.AreEqual(2 + 2 * 258, net[2][0].Bias);
Assert.AreEqual(-1 + 2 * 258 * 66, net[2][0][0]);
Assert.AreEqual(-1 + 2 * (-1548), net[1][0].Bias);
Assert.AreEqual(1 + 2 * (-1548 * 12), net[1][0][0]);
Assert.AreEqual(1 + 2 * (-4644), net[0][0].Bias);
Assert.AreEqual(3 + 2 * (-4644 * 1), net[0][0][0]);
}
public void SimpleNet_OneIter()
{
// arrange
var net = Mocks.SimpleLinearNetwork();
var sample = new ClassifiedSample <double[]>();
var point = new[] { 1.0D };
var cls = new Class("a", 0);
sample[point] = cls;
var alg = new BackpropAlgorithm(sample, net);
alg.LearningRate = 2.0D;
alg.LossFunction = Loss.Euclidean;
// act
alg.RunIteration(point, cls);
// assert
Assert.AreEqual(12, net[0][0].Value);
Assert.AreEqual(33, net[1][0].Value);
Assert.AreEqual(-62, net[2][0].Value);
Assert.AreEqual(3, net[0][0].Derivative);
Assert.AreEqual(3, net[1][0].Derivative);
Assert.AreEqual(2, net[2][0].Derivative);
Assert.AreEqual(-126, alg.Errors[2][0]);
Assert.AreEqual(378, alg.Errors[1][0]);
Assert.AreEqual(1134, alg.Errors[0][0]);
Assert.AreEqual(-126 * 33, alg.Gradient[2][0, 0]);
AssertNetGradient(alg, point, 2, 0, 0);
Assert.AreEqual(-126, alg.Gradient[2][0, 1]);
AssertNetGradient(alg, point, 2, 0, 1);
Assert.AreEqual(378 * 12, alg.Gradient[1][0, 0]);
AssertNetGradient(alg, point, 1, 0, 0);
Assert.AreEqual(378, alg.Gradient[1][0, 1]);
AssertNetGradient(alg, point, 1, 0, 1);
Assert.AreEqual(1134 * 1, alg.Gradient[0][0, 0]);
AssertNetGradient(alg, point, 0, 0, 0);
Assert.AreEqual(1134, alg.Gradient[0][0, 1]);
AssertNetGradient(alg, point, 0, 0, 1);
// act
alg.FlushGradient();
// assert
Assert.AreEqual(2 + 2 * 126, net[2][0].Bias);
Assert.AreEqual(-1 + 2 * 126 * 33, net[2][0][0]);
Assert.AreEqual(-1 + 2 * (-378), net[1][0].Bias);
Assert.AreEqual(1 + 2 * (-378 * 12), net[1][0][0]);
Assert.AreEqual(1 + 2 * (-1134), net[0][0].Bias);
Assert.AreEqual(3 + 2 * (-1134 * 1), net[0][0][0]);
}
