单层感知器

import numpy as npimport matplotlib.pyplot as pltX=np.array([[1,3,3],[1,4,3],[1,1,1]])Y=np.array([1,1,-1])W=(np.random.random(3)-0.5)*2print(W)lr=0.11n=0O=0def update():    global X,Y,W,lr,n    n+=1    O=np.sign(np.dot(X,W.T))    W_C=lr*((Y-O.T).dot(X))/int(X.shape[0])    W=W+W_C     for _ in range(100):    update()    print(W)    print(n)    O=np.sign(np.dot(X,W.T))    if(O==Y.T).all():        print('finished')        print('epoch:',n)        break        x1=[3,4]y1=[3,3]x2=[1]y2=[1]k=-W[1]/W[2]d=-W[0]/W[2]print('k=',k)print('d=',d)xdata=np.linspace(0,5)plt.figure()plt.plot(xdata,xdata*k+d,'r')plt.plot(x1,y1,'bo')plt.plot(x2,y2,'yo')plt.show()