public void CanRun1()
{
NetworkVector result = wc_1b.Run(vector_1);
NetworkVector outcheck = new NetworkVector(new double[] { 2 });
Assert.AreEqual(outcheck, result);
}
public void CanRun2()
{
VectorBatch result = wc_2.Run(inputBatch_2);
VectorBatch outcheck = new VectorBatch(
Matrix <double> .Build.DenseOfArray(new double[, ] {
{ 25, 32 }, { 31, 41 }
}));
Assert.AreEqual(outcheck, result);
}
public void CanRun1()
{
VectorBatch result = wc_1.Run(inputBatch_1);
VectorBatch outcheck = inputBatch_1;
Assert.AreEqual(outcheck, result);
}
public void CanBack1()
{
wc_1b.Run(inputBatch_1);
VectorBatch inputGradient = wc_1b.BackPropagate(gradientBatch1);
VectorBatch inputGradientCheck = gradientBatch1;
Assert.AreEqual(inputGradientCheck, inputGradient);
}
public void CanRun2()
{
NetworkVector result = wc_2.Run(vector_3);
NetworkVector outcheck = new NetworkVector(new double[] { 111 + 224 + 339 + 11, 222 + 336 + 452 + 12 });
Assert.AreEqual(outcheck, result);
}
