//Sets every bias to a random value on a Gaussian distribution with mean 0 and standard deviation 1
private void InitializeBiases()
{
GaussianRandom random = new GaussianRandom(0, 1);
for (int l = 1; l < numLayers; ++l)
{
for (int i = 1; i <= biases[l].NumRows; ++i)
{
random.StdDev = Math.Pow(weightMatrices[l].NumColumns, -0.5);
biases[l][i, 1] = (float)random.NextDouble();
}
}
}
//Sets every weight to a random value on a Gaussian distribution with mean 0 and standard deviation 1
private void InitializeWeightMatrices()
{
GaussianRandom random = new GaussianRandom(0, 1);
for (int l = 1; l < numLayers; ++l) {
for (int i = 1; i <= weightMatrices[l].NumRows; ++i) {
for (int j = 1; j <= weightMatrices[l].NumColumns; ++j) {
random.StdDev = Math.Pow(weightMatrices[l].NumColumns, -0.5);
weightMatrices[l][i, j] = (float)random.NextDouble();
}
}
}
}