밑딥1 - 1. 단순게이트

def AND(x1, x2):
    w1, w2, theta = 0.5, 0.5, 0.7
    tmp = x1*w1 + x2*w2
    if tmp <= theta:
        return 0
    elif tmp > theta:
        return 1

print(AND(0,0))
print(AND(1,0))
print(AND(0,1))
print(AND(1,1))

 

 

import numpy as np
x = np.array([0, 1])
w = np.array([0.5, 0.5])
b = -0.8
print(w*x)
print(np.sum(w*x))
print(np.sum(w*x)+b)

 

 

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

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

 

 

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

print(XOR(0,0))
print(XOR(1,0))
print(XOR(0,1))
print(XOR(1,1))