摘要:
#模型为w1*x*x+w2*x+b import torchx_data=[1,2,3]y_data=[2,4,6]#三个tensorw1=torch.tensor([1.0])w1.requires_grad=Truew2=torch.tensor([2.0])w2.requires_grad=T 阅读全文
摘要:
import torchx_data=[1,2,3]y_data=[2,4,6]w=torch.tensor([1.0])w.requires_grad=True #计算梯度,要特地设置,不要自动产生梯度#构建计算图def forward(x): return x*w #x and w都是tenso 阅读全文
摘要:
#模型x*W+b,三维图象横坐标是w,纵坐标是b,竖坐标是损失函数import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import cmfrom modulefinder import *from mpl_toolkits 阅读全文