import matplotlib.pyplot as plt
import numpy as np
def hard_sigmoid(x):
return np.clip(0.2 * x + 0.5, 0, 1)
def sigmoid(x):
return 1 / (1 + np.exp(-x))
x = np.arange(-10, 10, 0.1)
plt.plot(x, hard_sigmoid(x))
plt.plot(x, sigmoid(x))
plt.show()