public void SvmLayer_Backward()
{
var batchSize = 1;
var width = 28;
var height = 28;
var depth = 3;
var numberOfClasses = 10;
var random = new Random(232);
var sut = new SvmLayer(numberOfClasses);
sut.Initialize(width, height, depth, batchSize, Initialization.GlorotUniform, random);
var input = Matrix <float> .Build.Random(batchSize, numberOfClasses, random.Next());
sut.Forward(input);
var delta = Matrix <float> .Build.Random(batchSize, numberOfClasses, random.Next());
var actual = sut.Backward(delta);
Trace.WriteLine(string.Join(", ", actual.ToColumnMajorArray()));
var expected = Matrix <float> .Build.Dense(batchSize, numberOfClasses, new float[] { 1f, 1f, 1f, 1f, 1f, -9f, 1f, 1f, 1f, 1f });
MatrixAsserts.AreEqual(expected, actual);
}