private void CloneNeuralLayer(NeuralLayer neuralLayer)
{
_activationFunction = neuralLayer._activationFunction;
_random = neuralLayer._random;
_weights = new double[neuralLayer._weights.Length][];
_neurons = new Neuron[neuralLayer._neurons.Length];
_biases = new double[neuralLayer._biases.Length];
for (int i = 0; i < _weights.Length; i++)
{
_biases[i] = neuralLayer._biases[i];
_weights[i] = new double[neuralLayer._weights[0].Length];
for (int j = 0; j < _weights[i].Length; j++)
{
_weights[i][j] = neuralLayer._weights[i][j];
}
}
}
public NeuralLayer(int ammountOfNeurons, Random random, NeuralNetwork.ActivationFunction activationFunction)
{
if (ammountOfNeurons <= 0)
{
throw new ArgumentException("Amount of neurons has to be greater than zero.");
}
if (random == null)
{
throw new ArgumentNullException("Random has not been provided");
}
if (activationFunction == null)
{
throw new ArgumentNullException("Activation function has not been provided");
}
_activationFunction = activationFunction;
_random = random;
_neurons = new Neuron[ammountOfNeurons];
InitializeWeights();
InitializeBiases();
}
