import numpy as np

def relu_activation(outputs):
    return np.maximum(0, outputs)

def relu_derivative_activation(outputs):
    return np.where(outputs > 0, 1, 0)

def sigmoid_activation(outputs):
    return 1 / (1 + np.exp(-outputs))

def sigmoid_derivative_activation(outputs):
    return outputs * (1 - outputs)