weights = Weights([2, 1]) # 2 input neurons and 1 output

for i in range(10000): # train 10000 times
    a, b = random(), random() # a and b is a random numbers
    output = int(a > b) # if a > b then answer is 1, else 0
    weights.train([a, b], [output]) # train

result = weights.feed_forward([0.1, 0.3])[0] # result is close to 0