private List<Item> SampleTestingInstance()
{
var result = new List<Item>();
var n = this.random.Next(this.testing.Count);
var entry = this.testing[n];
// Create volume from image data
var x = new Volume(28, 28, 1, 0.0);
for (var i = 0; i < 28; i++)
{
for (var j = 0; j < 28; j++)
{
x.Weights[j + i * 28] = entry.Image[j + i * 28] / 255.0;
}
}
for (var i = 0; i < 4; i++)
{
result.Add(new Item { Volume = x.Augment(24), Label = entry.Label });
}
return result;
}
private Item SampleTrainingInstance()
{
var n = this.random.Next(this.trainingCount);
var entry = this.training[n];
// load more batches over time
if (this.stepCount % 5000 == 0 && this.stepCount > 0)
{
this.trainingCount = Math.Min(this.trainingCount + BatchSize, this.training.Count);
}
// Create volume from image data
var x = new Volume(28, 28, 1, 0.0);
for (var i = 0; i < 28; i++)
{
for (var j = 0; j < 28; j++)
{
x.Weights[j + i * 28] = entry.Image[j + i * 28] / 255.0;
}
}
x = x.Augment(24);
return new Item { Volume = x, Label = entry.Label, IsValidation = n % 10 == 0 };
}
