public MnistSamples()
{
var sourceDir = new DirectoryInfo(AppDomain.CurrentDomain.BaseDirectory).Parent.Parent;
var dataDir = Path.Combine(sourceDir.FullName, "MnistData");
var dataFile = Path.Combine(dataDir, "Training.csv");
var allSamples = File.ReadAllLines(dataFile)
.Skip(1)
.Select(line => new Sample(
Sample.GetValues(line.Substring(2)),
GetTargetArray(line.Substring(0, 1))))
.ToArray();
var testCount = allSamples.Length / 10;
Training = new Sample[allSamples.Length - testCount];
Array.Copy(allSamples, Training, Training.Length);
Testing = new Sample[testCount];
if (testCount > 0)
Array.Copy(allSamples, Training.Length, Testing, 0, Testing.Length);
}
public Trainer(Network net, Sample[] cases,
CheckCorrect checkCorrect, Sample[] testCases = null)
{
this.net = net;
this.cases = cases;
this.caseCount = cases.Length;
if (caseCount == 0)
throw new Exception("Don't have any samples to train with!");
var sampleSample = cases[0];
if (net.InputSize != sampleSample.input.Length)
throw new Exception(string.Format(
"Net input size: {0}, doesn't match sample input size: {1}.",
net.InputSize, sampleSample.input.Length));
if (net.OutputSize != sampleSample.target.Length)
throw new Exception(string.Format(
"Net output size: {0}, doesn't match sample target size: {1}.",
net.OutputSize, sampleSample.target.Length));
this.checkCorrect = checkCorrect;
this.testCases = testCases ?? new Sample[0];
}
Tuple<int, int> MeasureAccuracy(Sample[] samples)
{
var correctCount = (
from sample in samples
let output = net.FeedForward(sample.input)
where checkCorrect(sample.target, output)
select 1)
.Count();
return Tuple.Create(correctCount, samples.Length);
}