public void BackPropagateIsCorrect()
{
int numberOfBanks = 3;
Layer layer = new Layer(new WeightsMatrix(new double[, ] {
{ 1 }
}));
LayerBank bank = new LayerBank(layer, numberOfBanks);
NetworkVector inputVector = new NetworkVector(new double[] { 1, 2, 3 });
NetworkVector bpVector = new NetworkVector(new double[] { 5, 7, 11 });
bank.Run(inputVector);
NetworkVector inputGradientCheck = new NetworkVector(new double[] { 5, 7, 11 });
Assert.AreEqual(inputGradientCheck, bank.InputGradient(bpVector));
bank.BackPropagate(bpVector, inputVector);
bank.Update(new GradientDescent());
WeightsMatrix weightsCheck = new WeightsMatrix(new double[, ] {
{ -51 }
});
NetworkVector biasCheck = new NetworkVector(new double[] { -23 });
Assert.AreEqual(biasCheck, bank.Biases);
Assert.AreEqual(weightsCheck, bank.Weights);
}
public void CanRunLayerBank()
{
int numberOfBanks = 3;
Layer layer = new Layer(new WeightsMatrix(new double[, ] {
{ 1 }
}));
LayerBank bank = new LayerBank(layer, numberOfBanks);
NetworkVector zeroVector = new NetworkVector(numberOfBanks);
NetworkVector result = bank.Run(zeroVector);
Assert.AreEqual(zeroVector, result);
}
public void CorrectRunThreeInputs()
{
int numberOfBanks = 3;
Layer layer = new Layer(new WeightsMatrix(new double[, ] {
{ 2, 3, 5 }
}));
LayerBank bank = new LayerBank(layer, numberOfBanks);
NetworkVector input = new NetworkVector(new double[] { 7, 7, 7, 11, 11, 11, 13, 13, 13 });
NetworkVector outputcheck = new NetworkVector(new double[] { 70, 110, 130 });
NetworkVector result = bank.Run(input);
Assert.AreEqual(outputcheck, result);
}
public void CannotRunLayerBankWithBadInputSize()
{
int numberOfBanks = 3;
Layer layer = new Layer(new WeightsMatrix(new double[, ] {
{ 1 }
}));
LayerBank bank = new LayerBank(layer, numberOfBanks);
NetworkVector badInput = new NetworkVector(2);
try
{
bank.Run(badInput);
Assert.Fail("LayerBank.Run failed to throw an ArgumentException for input of the wrong size.");
}
catch (ArgumentException) { }
}