Example #1
0
        /// <summary> Creates, loads, and returns a <see cref="NeuralNetwork"/> using the given <paramref name="networkLoader"/>. </summary>
        /// <param name="networkLoader"> The <see cref="INetworkLoader"/> used to load the network. </param>
        /// <returns> The loaded <see cref="NeuralNetwork"/>. </returns>
        public static NeuralNetwork Load(INetworkLoader networkLoader)
        {
            // Get the number of neuron layers in the file.
            int neuronLayerCount = networkLoader.GetNetworkNeuronLayerCount();

            // Create an empty neural network.
            NeuralNetwork neuralNetwork = new NeuralNetwork(networkLoader.GetNetworkLearningRate(), neuronLayerCount);

            // Create the neuron layers for the neural network.
            for (uint i = 0; i < neuronLayerCount; i++)
            {
                neuralNetwork.neuronLayers[i] = NeuronLayer.Load(neuralNetwork, networkLoader, i);
            }

            // Create the weight layers for the neural network.
            for (uint i = 0; i < neuronLayerCount - 1; i++)
            {
                neuralNetwork.weightLayers[i] = WeightLayer.Load(neuralNetwork, networkLoader, i, neuralNetwork.neuronLayers[i], neuralNetwork.neuronLayers[i + 1]);
            }

            // Set the highest neuron count.
            neuralNetwork.HighestNeuronCount = calculateHighestNeuronCount(neuralNetwork);

            // Return the neural network.
            return(neuralNetwork);
        }