Exemplo n.º 1
0
        public Neuron(int numOutputs, int myIndex, ActivationFuntions activationFunctions = null)
        {
            ActiveFuns     = activationFunctions ?? ActivationFuntions.Tanh;
            _outputWeights = new Connection[numOutputs];
            _myIndex       = myIndex;

            var random = new Random(0);

            for (int i = 0; i < numOutputs; i++)
            {
                _outputWeights[i] = new Connection
                {
                    Weight = random.NextDouble(),
                }
            }
            ;
        }
Exemplo n.º 2
0
        public Net(int[] topology, ActivationFuntions activationFunctions = null)
        {
            _layers = new Layer[topology.Length];

            for (int layerNum = 0; layerNum < topology.Length; ++layerNum)
            {
                _layers[layerNum] = new Layer();
                int numOutputs = (layerNum == topology.Count() - 1)
                    ? 0
                    : topology[layerNum + 1];

                for (int i = 0; i <= topology[layerNum]; i++)
                {
                    _layers[layerNum].Add(new Neuron(numOutputs, i, activationFunctions));
                }

                _layers[layerNum].Last().OutputVal = 1;
            }
        }