pythonbook/梯度下降/最简单函数求极值.py

36 lines
665 B
Python

# https://www.bilibili.com/video/BV1ar4y137GD/?spm_id_from=333.337.search-card.all.click&vd_source=311a862c74a77082f872d2e1ab5d1523
import numpy as np
import matplotlib.pyplot as plt
def f(x):
return x**2-3
def df(x):
return 2*x
def plotf(loss):
x = range(len(loss))
plt.plot(x,loss)
plt.xlabel('Iteration')
plt.ylabel('Loss')
plt.show()
def main():
x = 1000
lr = 0.9
steps = 400
loss = []
for i in range(steps):
x = x-lr*df(x)
loss.append(f(x))
# print(loss[i])
y = f(x)
print(y)
plotf(loss)
if __name__ == '__main__':
main()