public void should_back_propagate_correctly()
{
// Arrange
var sigmoid = new Sigmoid(new Size(2, 2));
var trainingRun = new TrainingRun(1)
{
Input = new float[]
{
0.31f, 0.61f, 0.27f, 0.19f
},
OutputError = new float[]
{
0.25f * 0.61f + -0.15f * 0.02f,
0.25f * 0.96f + -0.15f * 0.23f,
0.25f * 0.82f + -0.15f * -0.50f,
0.25f * -1.00f + -0.15f * 0.17f
}
};
var expected = new float[, ]
{
{ 0.0364182f, 0.068628f },
{ 0.04675125f, -0.06818625f }
};
// Act
sigmoid.BackPropagate(trainingRun);
// Assert
var actual = (trainingRun.InputError.ToMatrix() * 100).PointwiseRound() / 100;
var expectedMatrix = (Matrix <float> .Build.DenseOfArray(expected) * 100).PointwiseRound() / 100;
Assert.That(actual, Is.EqualTo(expectedMatrix));
}