簡單的與門、與非門、或門

import numpy as np
def AND(x1,x2):
    x = np.array([x1,x2])        #輸入
    w = np.array([0.5,0.5])        #權重
    b = -0.7                    #偏置
    tmp = np.sum(w*x)+b
    if tmp <= 0:
        return 0
    else:
        return 1
print(AND(0,0))
print(AND(1,0))
print(AND(0,1))
print(AND(1,1))
print(‘--------------------‘)
def NAND(x1,x2):
    x = np.array([x1,x2])        #輸入
    w = np.array([-0.5,-0.5])        #權重
    b = 0.7                    #偏置
    tmp = np.sum(w*x)+b
    if tmp <= 0:
        return 0
    else:
        return 1
print(NAND(0,0))
print(NAND(1,0))
print(NAND(0,1))
print(NAND(1,1))
print(‘--------------------‘)
def OR(x1,x2):
    x = np.array([x1,x2])        #輸入
    w = np.array([-0.5,-0.5])        #權重
    b = -0.2                    #偏置
    tmp = np.sum(w*x)+b
    if tmp <= 0:
        return 0
    else:
        return 1
print(OR(0,0))
print(OR(1,0))
print(OR(0,1))
print(OR(1,1))
 

簡單的邏輯電路