public CopyMachine(int weightsCount, NeuralTuringMachine machine)
{
_weights = new double[weightsCount];
_gradients = new double[weightsCount];
var extractor = new WeightsExtractor(_weights, _gradients);
machine.UpdateWeights(extractor);
}
public AverageMachineWeightUpdater(int weightsCount, NeuralTuringMachine[] machines)
{
_weights = new double[weightsCount];
_gradients = new double[weightsCount];
int length = machines.Length;
var extractor = new WeightsExtractor(_weights, _gradients);
foreach (NeuralTuringMachine neuralTuringMachine in machines)
{
neuralTuringMachine.UpdateWeights(extractor);
extractor.Reset();
}
for (int i = 0; i < weightsCount; i++)
{
_weights[i] /= length;
_gradients[i] /= length;
}
}
