using namespace std;
for(int i = 0;i < 100 ;i ++)
cout<<i<<endl;
import torch
import numpy as np
import matplotlib.pyplot as plt
x_data = [1.0, 2.0, 3.0]
y_data = [2.0, 4.0, 6.0]
def forward(x):
return x * w
def loss(x, y):
y_pred = forward(x);
return (y_pred - y) * (y_pred - y)
w_list = []
mse_list = []
for w in np.arange(0.0, 4.1, 0.1):
print('w = ',w)
l_sum = 0
for x_val,y_val in zip(x_data, y_data):
y_pred_val = forward(x_val)
loss_val = loss(x_val, y_val)
l_sum += loss_val
print('\t',x_val, y_val, y_pred_val, loss_val)
print('MSE = ',l_sum / 3)
w_list.append(w)
mse_list.append(l_sum / 3)
#绘图
plt.plot(w_list, mse_list)
plt.ylabel('Loss')
plt.xlabel('w')
plt.show()
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