Perceptron_AND

import numpy as np

input = np.array([
                  [-1,-1],
                  [-1,1],
                  [1,-1],
                  [1,1]
])

target=np.array([-1,-1,-1,1])
w=[0,0]
LR=1
b=0
epoch= 20
T=0

for j in range (0, epoch):
    print("epoch:",j)
    global_error = 0
    for i in range(0,input.shape[0]):
        actual = target[i]
        instance = input[i]
        x0 = instance[0]
        x1 = instance[1]
        sum_unit = b + (x0*w[0] + x1*w[1])
        if sum_unit > 0:
            activation=1
        elif sum_unit < 0:
            activation=-1
        else:
            activation =0
        if actual != activation:
            w[0]=w[0] + LR*actual*x0
            w[1]=w[1] + LR*actual*x1
            b=b + LR*actual
        error = actual - activation
        print("prediction:", activation,"actual:",target[i],"error:",error,")")

        global_error = global_error +abs(error)
    print("-----------------")
    if global_error ==0:
        print("final weight:",w[0],w[1],b)
        break