视频讲解链接：3.1梯度下降法求最小值_哔哩哔哩_bilibili

# 利用梯度下降法求最小值
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np
plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False    # 用来正常显示负号lr = 0.1      # 学习率
epoches = 20  # 迭代次数
x = 5         # 初始值
y = x**2      # 目标损失函数x_list = []               # 记录每次迭代的x值, 放到list里面
y_list = []               # 记录每次迭代的y值, 放到list里面
x_list.append(x)
y_list.append(y)print(f'第0次初始值，                 x = {x}, y=x**2={y}')#梯度下降求解量小值
for i in range(epoches):i = i + 1x = x - lr * 2 * xy = x**2x_list.append(x)y_list.append(y)print(f'第{i}次迭代，x = x - lr * 2 * x&#