public static (float, float, float[, ], float[, ]) NieuwNetwerk(int inputCount, int HiddenCount, int outputCount)
{
// De biases krijgen een willekeurige bias.
float biasInput = UnityEngine.Random.Range(-2.0f, 2.0f);
float biasHidden = UnityEngine.Random.Range(-2.0f, 2.0f);
// De weights worden willekeurig toegewezen.
float[,] weightsInput = NeuralNetwork.AssignWeights(inputCount, HiddenCount);
float[,] weightsHidden = NeuralNetwork.AssignWeights(HiddenCount, outputCount);
return(biasInput, biasHidden, weightsInput, weightsHidden);
}
public static (float, float, float, float[, ], float[, ], float[, ]) NieuwDiepNetwerk(int inputCount, int firstHiddenCount, int secondHiddenCount, int outputCount)
{
// De biases krijgen een willekeurige bias.
float biasInput = Random.Range(-2.0f, 2.0f);
float biasHidden = Random.Range(-2.0f, 2.0f);
float biasSecondHidden = Random.Range(-2.0f, 2.0f);
// De weights worden willekeurig toegewezen.
float[,] weightsInput = NeuralNetwork.AssignWeights(inputCount, firstHiddenCount);
float[,] weightsFirstHidden = NeuralNetwork.AssignWeights(firstHiddenCount, secondHiddenCount);
float[,] weightsSecondHidden = NeuralNetwork.AssignWeights(secondHiddenCount, outputCount);
return(biasInput, biasHidden, biasSecondHidden, weightsInput, weightsFirstHidden, weightsSecondHidden);
}
