static void testClassMNIST()
{
MNIST mnist = new MNIST();
mnist.loadTrainingSetFiles(trainingImagesFileName, trainingLabelsFileName);
mnist.loadTestSetFiles(testImagesFileName, testLabelsFileName);
int i, j;
while (Console.ReadLine().Equals(""))
{
i = random.Next(60000);
Console.WriteLine("trainingImages[" + i + "]:");
Console.WriteLine(mnist.trainingImages[i]);
Console.WriteLine("trainingLabels[" + i + "]:");
Console.WriteLine(mnist.trainingLabels[i]);
j = random.Next(10000);
Console.WriteLine("testImages[" + j + "]:");
Console.WriteLine(mnist.testImages[j]);
Console.WriteLine("testLabels[" + j + "]:");
Console.WriteLine(mnist.testLabels[j]);
Console.WriteLine("Enter non-empty line to quit!");
}
for (int k = 0; k < 60000; k++)
{
if (mnist.trainingLabels[k] < 0 || mnist.trainingLabels[k] > 9)
{
throw new Exception("testMNIST: Invalid training label. " +
"trainingLabels[" + k + "]: " + mnist.trainingLabels[k]);
}
}
Console.WriteLine("trainingLabels OK!");
for (int k = 0; k < 10000; k++)
{
if (mnist.testLabels[k] < 0 || mnist.testLabels[k] > 9)
{
throw new Exception("testMNIST: Invalid test label. " +
"testLabels[" + k + "]: " + mnist.testLabels[k]);
}
}
Console.WriteLine("testLabels OK!");
}
static void writeImage()
{
MNIST mnist = new MNIST();
mnist.loadTrainingSetFiles(trainingImagesFileName, trainingLabelsFileName);
int i;
while (Console.ReadLine().Equals(""))
{
i = random.Next(60000);
Console.WriteLine("trainingImages[" + i + "]:");
Console.WriteLine(mnist.trainingImages[i]);
Console.WriteLine("trainingLabels[" + i + "]:");
Console.WriteLine(mnist.trainingLabels[i]);
Console.WriteLine("Enter non-empty line to quit!");
}
}
