C# (CSharp) MLP OutputLayer示例

示例#1

文件： Network.cs 项目： kwende/CSharpNeuralNetworkExplorations

        public double[] Feedforward(double[] x)
        {
            if (x.Length != InputLayer.Neurons.Count)
            {
                throw new DataAndInputLayerSizeMismatchException(
                          "Resize the input layer to match the size of the training data.");
            }

            for (int d = 0; d < x.Length; d++)
            {
                (InputLayer.Neurons[d]).Activation = x[d];
            }

            foreach (HiddenLayer hiddenLayer in HiddenLayers)
            {
                hiddenLayer.ComputeLayerTrainingOutput();
            }

            List <double> output = new List <double>();

            output.AddRange(OutputLayer.ComputeLayerTrainingOutput());
            return(output.ToArray());
        }