class Net
    {
        private Layer[] layers;

        public int InputCount { get; }

        public int OutputCount { get; }

        public Net(int inputCount, params Layer[] layers)
        {
            InputCount = inputCount;
            int prevCount = inputCount;
            this.layers = layers;
            foreach (var layer in layers)
            {
                layer.Init(prevCount);
                prevCount = layer.NeuronCount;
            }
            OutputCount = prevCount;

            Random rnd = new Random();
            foreach (var layer in layers)
            {
                for (int i = 0; i < layer.NeuronCount; i++)
                {
                    for (int j = 0; j < layer.PrevLayerNeuronCount; j++)
                    {
                        layer.Weights[i, j] = rnd.NextDouble();
                    }
                }
            }
        }

        public double[] Forward(double[] input)
        {
            if (input.Length != InputCount)
                throw new ArgumentException("неверное кол-во входных параметров", nameof(input));

            double[] output = input;
            foreach (var layer in layers)
            {
                output = layer.Forward(output);
            }
            return output;
        }

        public double[] Backward(double[] output)
        {
            if (output.Length != OutputCount)
                throw new ArgumentException("неверное кол-во входных параметров", nameof(output));

            double[] input = output;
            foreach (var layer in layers.Reverse())
            {
                input = layer.Forward(input);
            }
            return input;
        }

    }