A Learning Neural Network (?)

[CoderMan]

Here is a simplified version of the code:

import random

num1 = random.randint(0,1)

if num1 == 0:
    num2 = 1
elif num1 == 1:
    num2 = 0


class neuron:
    def __init__(self,value,inW):
        self.v = value
        self.inW = inW

inp1 = num1
inp2 = num2

in1 = neuron(int(inp1),int(inp1))
in2 = neuron(int(inp2),int(inp1))

n1A = neuron(in1.v*0,in1.v)
n1B = neuron(in2.v*0,in2.v)



l1 = [n1A,n1B]

def r():
    for x in l1:
        x.v += .25*x.inW
        nOUT = neuron(n1A.v+n1B.v,n1A.v+n1B.v)

    if nOUT.v >= 1:
        print(nOUT.v)

I know it might take time to understand what I mean. Thanks for helping!