public void CanBack2()
{
wc_2.Run(inputBatch_2);
VectorBatch inputGradient = wc_2.BackPropagate(gradientBatch2);
Assert.AreEqual(inputGradientCheck, inputGradient);
}
public void CanUpdate()
{
AdaptationStrategy strategy = new GradientDescent(1.0, 1);
wc_2.Run(vector_3);
wc_2.BackPropagate(vector_2);
wc_2.Update(strategy);
NetworkVector biasesCheck = new NetworkVector(new double[] { 0, 0 });
WeightsMatrix weightsCheck = new WeightsMatrix(new double[, ] {
{ 1 - (11 * 111), 2 - (11 * 112), 3 - (11 * 113) }, { 2 - (12 * 111), 3 - (12 * 112), 4 - (12 * 113) }
});
Assert.AreEqual(biasesCheck, wc_2.Biases);
Assert.AreEqual(weightsCheck, wc_2.Weights);
}
public void CanBack1()
{
wc_1b.Run(inputBatch_1);
VectorBatch inputGradient = wc_1b.BackPropagate(gradientBatch1);
VectorBatch inputGradientCheck = gradientBatch1;
Assert.AreEqual(inputGradientCheck, inputGradient);
}
