Perceptron

import numpy as np

class Perceptron:
    def __init__(self, n_inputs, lr=0.1):
        self.weights = np.zeros(n_inputs)
        self.bias = 0.0
        self.lr = lr

    def predict(self, x):
        z = np.dot(x, self.weights) + self.bias
        return 1 if z > 0 else 0

    def train(self, X, y, epochs=10):
        for _ in range(epochs):
            for xi, yi in zip(X, y):
                error = yi - self.predict(xi)
                self.weights += self.lr * error * xi
                self.bias += self.lr * error

# Ví dụ: học cổng AND
X = np.array([[0,0],[0,1],[1,0],[1,1]])
y = np.array([0, 0, 0, 1])
p = Perceptron(n_inputs=2)
p.train(X, y, epochs=10)
for xi in X:
    print(f"{xi} -> {p.predict(xi)}")