Compilador de Python Online (Editor / Interpretador)

# Exemplo de um perceptron simples em Python
import numpy as np

def perceptron(X, y, epochs, learning_rate):
    weights = np.zeros(X.shape[1])
    for _ in range(epochs):
        for i in range(len(X)):
            prediction = np.dot(X[i], weights)
            error = y[i] - prediction
            weights += learning_rate * error * X[i]
    return weights

# Dados de exemplo
X = np.array([[1, 2], [2, 3], [3, 4]])
y = np.array([0, 1, 1])
weights = perceptron(X, y, epochs=10, learning_rate=0.1)
print(weights)

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