My First Neural Network!

import numpy as np

learning_rate = 1
bias = 1
weights = np.random.rand(3)

def accuracy(error):
    if error == 0:
        print("100%")
    if error == -1:
        print("0%")

def perceptron(neurons, desired_output):
    output_of_perceptron = np.dot(neurons, weights)
    #Activation Function
    if output_of_perceptron > 0:
        
        '''if calculated output is positive then''' 
        
        output_of_perceptron = 1
    else:
        
        '''otherwise'''
        
        output_of_perceptron = 0
        
        
    #error calculation
    error = desired_output - output_of_perceptron
    
    
    #updating the weights
    weights[0] += error * neurons[0] * learning_rate
    weights[1] += error * neurons[1] * learning_rate
    weights[2] += error * neurons[2] * learning_rate
    
    #Printing the accuracy..
    accuracy(error)
    
    
for i in range(10):
              #input neurons, labels
    perceptron(   [1,1,bias],   1   ) #True
    perceptron(   [1,0,bias],   1   ) #True
    perceptron(   [0,1,bias],   1   ) #True
    perceptron(   [0,0,bias],   0   ) #False