exemple python gradient
import numpy as np
class Model():
def __call__(self, x):
return 2 * (2 * x ** 2 - 10) * 4 * x
alpha = 0.005
x = 5.0
norme_epsilon= 100
seuil_epsilon = 0.001
ma_fonction = Model()
while norme_epsilon > seuil_epsilon:
dfx_dx = ma_fonction(x)
norme_epsilon = np.abs(dfx_dx)
x = x - alpha * dfx_dx
print(x)exemple python gradient
class Model():Copyright © 2021 Codeinu
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