In [1]:

    

import numpy as np

def NAND(x1, x2):
    x = np.array([x1, x2])
    w = np.array([-0.5, -0.5])
    b = 0.7
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1


    

In [2]:

    

def OR(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5])
    b = -0.2
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1


    

In [3]:

    

def AND(x1, x2):
    x = np.array([x1, x2])
    w = np.array([0.5, 0.5])
    b = -0.7
    tmp = np.sum(w*x) + b
    if tmp <= 0:
        return 0
    else:
        return 1


    

In [4]:

    

def XOR(x1, x2):
    s1 = NAND(x1, x2)
    s2 = OR(x1, x2)
    y = AND(s1, s2)
    return y


    

In [5]:

    

XOR(0, 0)


    

    
Out[5]:





0

In [6]:

    

XOR(1, 0)


    

    
Out[6]:





1

In [7]:

    

XOR(0, 1)


    

    
Out[7]:





1

In [8]:

    

XOR(1, 1)


    

    
Out[8]:





0

In [ ]: