public Menu()
{
InitializeComponent();
gui = new GraphGraphic(PictureBox);
StepByStepAdvencedInfoLabel.Text = "";
StepLabel.Text = "";
}
public static void Main()
{
int count = 0;
int dataSize = 10000;
IFunction activator = new Sigmoid();
IDataset dataset = new MNISTReader("Data/train-images", "Data/train-labels", dataSize);
double[][] inputTests = dataset.GetDataset();
double[][] outputTests = dataset.GetLabelset();
int[] neuronCounts = new int[] { dataset.GetDataSize(), 500, 100, dataset.GetLabelSize() };
double dataRatio = 0.5;
double learningRate = 0.1;
Network magicBox = new Network(neuronCounts, activator, dataset, dataRatio);
NetworkGraphic graphicMagic = new NetworkGraphic(0, 250, 800, 100, magicBox);
bool paused = true;
bool drawstuff = true;
GraphGraphic networkGraph = new GraphGraphic(250, 200, 400, 100, "Error", "Iteration");
InputLayerGraphic inputGraphic = new InputLayerGraphic(250, 400, 200, dataset.GetDataSize());
//Open the game window
SwinGame.OpenGraphicsWindow("Neuralnet Project", 800, 600);
//Run the game loop
while (false == SwinGame.WindowCloseRequested())
{
//Fetch the next batch of UI interaction
SwinGame.ProcessEvents();
//Clear the screen and draw the framerate
SwinGame.ClearScreen(Color.White);
SwinGame.DrawFramerate(0, 0);
if (drawstuff)
{
networkGraph.draw();
graphicMagic.Draw();
inputGraphic.draw();
// Going to find the highest value (the one the neural net thinks it is) and print it!
double maxValue = magicBox.Output.Max();
int maxIndex = magicBox.Output.ToList().IndexOf(maxValue);
SwinGame.DrawText(Convert.ToString(maxIndex), Color.Black, 650, 225);
}
else
{
SwinGame.DrawText("Busy training...", Color.Black, 250, 250);
}
if (SwinGame.KeyReleased(KeyCode.vk_p))
{
drawstuff = !drawstuff;
}
if (SwinGame.MouseDown(MouseButton.LeftButton))
{
Point2D mouse = SwinGame.MousePosition();
inputGraphic.check((int)mouse.X, (int)mouse.Y, 2);
}
if (SwinGame.KeyReleased(KeyCode.vk_UP))
{
magicBox.WhatIs(inputGraphic.output());
inputGraphic.reset();
}
if (SwinGame.KeyReleased(KeyCode.vk_n))
{
magicBox.Train(2, learningRate);
}
if (!paused || SwinGame.KeyReleased(KeyCode.vk_RIGHT))
{
count++;
if (count >= dataSize)
{
count = 0;
}
magicBox.Input(inputTests[count]);
magicBox.Feedforward();
magicBox.Backpropagate(outputTests[count], learningRate);
if (drawstuff)
{
networkGraph.pushValue(magicBox.SingleTest());
}
}
if (SwinGame.KeyReleased(KeyCode.vk_SPACE))
{
paused = !paused;
}
SwinGame.DrawText(Convert.ToString(count), Color.Black, 50, 225);
//Draw onto the screen
SwinGame.RefreshScreen(300);
}
}
