public void Evaluate_WithPassthroughAF_WithSingleInputAndOutput_ReturnsInputTimesWeight()
{
FullyConnectedNN nn = new FullyConnectedNN(new[] { 1, 1 },
AF.Passthrough);
float[] output = nn.Evaluate(new[] { 1.0f }, new[] { 1.0f });
AssertFloat.AreAlmostEqual(1.0f, output[0]);
output = nn.Evaluate(new[] { 0.5f }, new[] { 0.3f });
AssertFloat.AreAlmostEqual(0.15f, output[0]);
}
public void Evaluate_WithPassthroughAF_WithMultipleHiddenLayers_WithMultipleInputAndOutput_ReturnsCorrect()
{
FullyConnectedNN nn = new FullyConnectedNN(new[] { 2, 2, 2 },
AF.Passthrough);
float[] output = nn.Evaluate(new[] { 1.0f, -1.0f }, new[] { 0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f });
AssertFloat.AreAlmostEqual(-0.11f, output[0]);
AssertFloat.AreAlmostEqual(-0.15f, output[1]);
}