//BRAIN HELPERS
void simple_train()
{
//Nothing infront -> Don't do much.
NeuralNet.Matrix zeroin = new NeuralNet.Matrix(1, Eye_script.ret_size(), false);
NeuralNet.Matrix zerout = new NeuralNet.Matrix(1, 5, false);
zerout[0, 0] = 0.5;
for (int i = 0; i < 10; i++)
{
mind.Forward(zeroin);
mind.Backward(zerout);
}
}
void network_train1(bool prnt = false)
{
for (int i = 0; i < ndset.Rows; i++)
{
Matrix a = new Matrix(1, 4, new double[, ] {
{ ndset.Elements[i, 0], ndset.Elements[i, 1], ndset.Elements[i, 2], ndset.Elements[i, 3] }
}); //Gets the arguments.
Matrix b = net1.Forward(a);
if (prnt)
{
Debug.Log("Training...: Input " + a.ToString() + " Target: " + ndset.Elements[i, 4] + " Output: " + b.ToString());
}
net1.Backward(new Matrix(1, 1, new double[, ] {
{ ndset.Elements[i, 4] }
}));
}
}
