static void Main()
{
ILogger logger = new ConsoleLogger();
IConfiguration configuration = new ConfigurationBuilder()
.SetBasePath(Directory.GetCurrentDirectory())
.AddJsonFile("appsetting.json")
.Build();
// Get topology.
int[] topology = configuration.GetSection("topology").Get <int[]>();
// Read data.
TrainingData[] data;
string trainingDataFileName = Directory.GetCurrentDirectory() + "\\trainingData.json";
if (File.Exists(trainingDataFileName))
{
data = TrainingData.ReadFromFile(trainingDataFileName);
}
else
{
data = TrainingData.GenerateData(topology.First(), topology.Last(), 2000);
TrainingData.WriteToFile(data, trainingDataFileName);
}
// Train network.
Net net = new Net(topology);
for (int i = 0; i < data.Length; i++)
{
logger.LogLine($"Pass: {i + 1}");
logger.LogLine($"Input: [{string.Join(", ", data[i].In.Select(_ => _.ToString("F3")))}]");
logger.LogLine($"Targets: [{string.Join(", ", data[i].Out.Select(_ => _.ToString("F3")))}]");
net.FeedForward(data[i].In);
var resultVals = net.GetResults();
logger.LogLine($"Outputs: [{string.Join(", ", resultVals.Select(_ => _.ToString("F3")))}]");
net.BackProp(data[i].Out);
logger.LogLine($"Net average error: {net.RecentAverageError.ToString("F9")}\n");
}
logger.LogLine("Done");
System.Console.Read();
}
public static TrainingData[] GenerateData(int inputValsCount, int outputValsCount, int dataCount)
{
var random = new Random(0);
var result = new TrainingData[dataCount];
for (int i = 0; i < dataCount; i++)
{
result[i] = new TrainingData
{
In = new double[inputValsCount],
Out = new double[outputValsCount],
};
for (int j = 0; j < inputValsCount; j++)
{
result[i].In[j] = random.Next(2);
}
for (int j = 0; j < outputValsCount; j++)
{
result[i].Out[j] = result[i].In.Any(_ => _ == 0) ? 1 : 0;
}
}
return(result);
}
