视频教程刘二大人的pytorch
testpytorch
1、测试pytorch版本
2、线性模型
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 =[]
msa_list = [] #存储loss值
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)
msa_list.append(l_sum/3.0)
plt.plot(w_list, msa_list)
plt.ylabel('Loss')
plt.xlabel('w')
plt.show()