static void Main(string[] args)
{
try
{
//Setting global device
Logging.OnWriteLog += Logging_OnWriteLog;
//XOR Example
XORExample.LoadData();
XORExample.BuildModel();
XORExample.Train();
//Housing regression example
HousingRegression.LoadData();
HousingRegression.BuildModel();
HousingRegression.Train();
//MNIST Classification example
MNISTClassifier.LoadData();
MNISTClassifier.BuildModel();
MNISTClassifier.Train();
//LSTM Time series example
TimeSeriesPrediction.LoadData();
TimeSeriesPrediction.BuildModel();
TimeSeriesPrediction.Train();
//Cifar - 10 Classification example
//Cifar10Classification.LoadData();
//Cifar10Classification.BuildModel();
//Cifar10Classification.Train();
//Image classification example
//Console.WriteLine("ResNet50 Prediction: " + ImageClassification.ImagenetTest(SiaNet.Common.ImageNetModel.ResNet50)[0].Name);
//Console.WriteLine("Cifar 10 Prediction: " + ImageClassification.Cifar10Test(SiaNet.Common.Cifar10Model.ResNet110)[0].Name);
//Object Detection
//ObjectDetection.PascalDetection();
//ObjectDetection.GroceryDetection();
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine(ex.ToString());
Console.ReadLine();
}
}
static void Main(string[] args)
{
try
{
//Setting global device
Logging.OnWriteLog += Logging_OnWriteLog;
ImageDataFrame frame = new ImageDataFrame(Variable.InputVariable(new int[] { 28, 28, 1 }, DataType.Float), Variable.InputVariable(new int[] { 10 }, DataType.Float));
//frame.ExtractCifar10();
frame.Load(@"C:\BDK\Dataset\Cifar10");
//Housing regression example
HousingRegression.LoadData();
HousingRegression.BuildModel();
HousingRegression.Train();
//MNIST Classification example
MNISTClassifier.LoadData();
MNISTClassifier.BuildModel();
MNISTClassifier.Train();
//Cifar - 10 Classification example
//Cifar10Classification.LoadData();
//Cifar10Classification.BuildModel();
//Cifar10Classification.Train();
//Image classification example
Console.WriteLine("ResNet50 Prediction: " + ImageClassification.ImagenetTest(SiaNet.Common.ImageNetModel.ResNet50)[0].Name);
Console.WriteLine("Cifar 10 Prediction: " + ImageClassification.Cifar10Test(SiaNet.Common.Cifar10Model.ResNet110)[0].Name);
//Object Detection
//ObjectDetection.PascalDetection();
//ObjectDetection.GroceryDetection();
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine(ex.ToString());
Console.ReadLine();
}
}