Я не сдамся! Проблема в обучении нейросети для ИЛИ

import math
import random
 
step = 0.01
epoches = 10000
 
 
n1 = 0
n2 = 0
 
input1_n1 = random.uniform(-0.5,0.5)
input2_n1 = random.uniform(-0.5,0.5)
input3_n1 = random.uniform(-0.5,0.5)
 
input1_n2 = random.uniform(-0.5,0.5)
input2_n2 = random.uniform(-0.5,0.5)
input3_n2 = random.uniform(-0.5,0.5)
 
n1_out = random.uniform(-0.5,0.5)
n2_out = random.uniform(-0.5,0.5)
 
def act(x):
    return 1 / (1 + math.e**-x)
 
def dx(x):
    return x * (1 - x)
 
 
def proceed(input1,input2):
    global n1
    global n2
 
    n1 = 0
    n2 = 0
 
    n1 = act(input1*input1_n1 + input2*input2_n1 + 1*input3_n1)
    n2 = act(input1*input1_n2 + input2*input2_n2 + 1*input3_n2)
 
    out = act(n1*n1_out + n2*n2_out)
    return out
 
def learning():
    global input1_n1
    global input2_n1
    global input3_n1
    global input1_n2
    global input2_n2
    global input3_n2
    global n1_out
    global n2_out
 
    for i in range(epoches):
        a = random.randint(0,1)
        b = random.randint(0,1)
        c = int(bool(a) or bool(b))
 
        out = proceed(a,b)
        err_out = (c - out)**2
 
        err_n1 = err_out * n1_out
        err_n2 = err_out * n2_out
 
        n1_out -= step * err_out * dx(out) * n1
        n2_out -= step * err_out * dx(out) * n2
 
        input1_n1 -= step * err_n1 * dx(n1) * a
        input2_n1 -= step * err_n1 * dx(n1) * b
        input3_n1 -= step * err_n1 * dx(n1) * 1
 
        input1_n2 -= step * err_n2 * dx(n2) * a
        input2_n2 -= step * err_n2 * dx(n2) * b
        input3_n2 -= step * err_n2 * dx(n2) * 1
 
        if(i%100==0):
            print("Ошибка: ",abs(out - c))
learning()

err_out = (out-c)
err_n1 = (out - c) * n1_out
err_n2 = (out - c) * n2_out