void TestMNISTDrawing(Noedify.Net net)
{
float[] modelInputs = sampleDrawing.SampleDrawing(new int[2] {
28, 28
});
float[,,] modelInputsFormatted = new float[1, 1, 28 * 28];
for (int i = 0; i < 28 * 28; i++)
{
modelInputsFormatted[0, 0, i] = modelInputs[i];
}
System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
sw.Start();
solver.Evaluate(net, modelInputsFormatted, Noedify_Solver.SolverMethod.MainThread);
sw.Stop();
StartCoroutine(UpdatePlotWhenComplete());
}
IEnumerator PlotCostWhenComplete(Noedify_Solver solver, float[] cost)
{
while (solver.trainingInProgress)
{
yield return(null);
}
debugger.PlotCost(cost, new float[2] {
1.0f / no_epochs * 2.5f, 5
}, costPlotOrigin);
for (int n = 0; n < predictionTester.sampleImagePlanes.Length; n++)
{
float[,,] testInputImage = new float[1, 1, 1];
Noedify_Utils.ImportImageData(ref testInputImage, predictionTester.sampleImageRandomSet[n], true);
solver.Evaluate(net, testInputImage, Noedify_Solver.SolverMethod.MainThread);
int prediction = Noedify_Utils.ConvertOneHotToInt(solver.prediction);
predictionTester.CNN_predictionText[n].text = prediction.ToString();
}
}
// Evaluate netowrk to generate decision
float[] AIDecision(float[] observation)
{
evalSolver.Evaluate(simController.net, Noedify_Utils.AddTwoSingularDims(observation), Noedify_Solver.SolverMethod.MainThread);
return(evalSolver.prediction);
}
