I am not sure I got the backpropagation right

I'm trying to create a neural network to solve the XOR gate problem. I've done it with stochastic gradient descent successfully but I'm struggling a bit when it comes to batch gradient descent.

I've ran it several times and the model got to the correct answer but it took 14 attempts. (I've initialized the parameters, trained it for 600 epocs and it didn't work. Then I initialized the parameters again... 14 times).

Am I doing something wrong?

My code is …

backpropagation deeplearning gate gradient network neural network solve stochastic xor