// [TestMethod]
// [TestCategory("KEK")]
public void keras_vnnCM()
{
var nn = new vnnCm(
new double[][, ]
{
new double[, ] {
{ 0.5, 0.5, 0.5, 0.5, 0.5 }, { 0.5, 0.5, 0.5, 0.5, 0.5 }, { 0.5, 0.5, 0.5, 0.5, 0.5 }, { 0.5, 0.5, 0.5, 0.5, 0.5 }
},
new double[, ] {
{ 0.3, 0.3 }, { 0.3, 0.3 }, { 0.3, 0.3 }, { 0.3, 0.3 }, { 0.3, 0.3 },
},
},
new double[][]
{
new double[] { 0.1, 0.1, 0.1, 0.1, 0.1 },
new double[] { 0.5, 0.5 },
},
(x) => x
);
predict(nn, 1, 1, 1, 1);
predict(nn, 1, 1, 1, 0);
predict(nn, 4, 0, 4, 4);
predict(nn, 4, 3, 2, 4);
}
static void predict(vnnCm nn, params double[] inp)
{
var o = nn.feedResult(inp);
WriteLine($"({string.Join(" ", inp.Select(z => z.ToString("N2")))}) -> ({string.Join(" ", o.Select(z => z.ToString("N2")))})");
}
