static void M()
{
// Get Data
var images = IDXFileParser <byte>("C:\\MNist\\train-images.idx3-ubyte");
var labels = IDXFileParser <byte>("C:\\MNist\\train-labels.idx1-ubyte");
var testImages = IDXFileParser <byte>("C:\\MNist\\t10k-images.idx3-ubyte");
var testLabels = IDXFileParser <byte>("C:\\MNist\\t10k-labels.idx1-ubyte");
// Process
List <List <double> > inputs = new List <List <double> >();
List <List <double> > outputs = new List <List <double> >();
List <List <double> > testInputs = new List <List <double> >();
List <List <double> > testOutputs = new List <List <double> >();
foreach (var pair in images.Zip(labels))
{
DigitImage _ = new DigitImage(pair);
inputs.Add(_.GetPixelInput());
outputs.Add(_.GetLabelOutput());
}
foreach (var pair in testImages.Zip(testLabels))
{
DigitImage _ = new DigitImage(pair);
testInputs.Add(_.GetPixelInput());
testOutputs.Add(_.GetLabelOutput());
}
NeuralNetwork nn = new NeuralNetwork(new List <int>()
{
28 * 28, 200, 50, 10
});
NNTrainer.Train(nn, 0.01, inputs, outputs, testInputs, testOutputs);
}
// Update is called once per frame
void Update()
{
if (hoverSelector == null)
{
hoverSelector = GameObject.Instantiate(hoverSelectorPrefab);
}
hoverSelector.transform.position = GetTilePosUnderMouse();
if (Input.GetMouseButtonDown(0))
{
Vector3Int tilePos = GetTilePosUnderMouse();
RegisterClickOnTile(new Vector2Int(tilePos.x, tilePos.y));
}
if (Input.GetKeyDown(KeyCode.T))
{
NNTrainer.StartTraining(10, 20);
}
if (Input.GetKeyDown(KeyCode.Tab))
{
NNTrainer.DoShowMoves = !NNTrainer.DoShowMoves;
}
}
