c++ Neural Network path finding not moving - c++

Question

I'm making a neural network in c++ to traverse a maze knowing where the player is, which 2d direction it can move in (up,down,left,right) and where the goal is, i can at any time get the distance of the player to the goal as well
thus far this is my code
std::string NeuralNetwork::evolve(player p)
{
openMoves = p.getMoves();
playerPos = p.getListPos();
goalPos = p.getGoalPos();
values.clear();
for (auto item : openMoves)
values.push_back(item);
values.push_back(playerPos.x);
values.push_back(playerPos.y);
if (outputs.size() == 0)
outputs.resize(4);
if (inputs.size() == 0)
inputs.resize(values.size());
for (int i = 0; i < inputs.size(); i++)
{
inputs[i].srcValue = values[i];
if (inputs[i].weightList.size() == 0)
{
for (int j = 0; j < outputs.size(); j++)
{
inputs[i].weightList.push_back(dist(100) / 100.0f);
}
}
}
for (int i = 0; i < outputs.size(); i++)
{
outputs[i].out = 0;
if (outputs[i].theta == NULL)
outputs[i].theta = dist(-100, 100) / 100.0f;//rand funct to produce int between -100-100 then divide by 100 to get theta between -1 and 1
for (auto a : inputs)
{
outputs[i].out += (a.srcValue * a.weightList[i]);
}
outputs[i].finalOut = outputs[i].out / (1.0f + fabs(outputs[i].out));
//outputs[i].finalOut = 1 / (1 + std::pow(exp(1), -(outputs[i].out - outputs[i].theta)));
}
for (int i = 0; i < outputs.size(); i++)//backwards prop
{
float e = 1 - outputs[i].finalOut;
float delta = outputs[i].finalOut * (1 - outputs[i].finalOut)*e;
for (int j = 0; j < inputs.size(); j++)
{
inputs[j].weightList[i] += alpha * inputs[j].srcValue * delta;
}
outputs[i].theta += alpha * (-1)*delta;
}
the neural network is a function that's called every frame, the player starts in the top left and the goal is in the bottom right, the function returns a direction for the player to move in.
however, using backwards propagation each output final is never 1 which is what I use to determine its direction using
for (int i = 0; i < outputs.size(); i++)
{
if (outputs[0].finalOut == 1)//left
{
return "01";
}
else if (outputs[1].finalOut == 1)//up
{
return "10";
}
else if (outputs[2].finalOut == 1)//down
{
return "11";
}
else if (outputs[3].finalOut == 1)//right
{
return "00";
}
}
return "";}
however the function always returns no movement at all and i'm not sure why, even after a few minutes of waiting, there are no hidden layers to the network i'm starting simple with the inputs directly linking to the output
i'm unsure if my error calculation is correct to then adjust the weights. i'm unsure what i should be using to allow the ai to determine how to move