我不是程序员的博客

import numpy as np import torch from torch.utils import data from d2l import torch as d2l #制作数据集 def syn_data(w,b,num_examples): x = torch.normal(0,1,(num_examples,len(w))) y = torch.matmul(x,w)+b y=y +torch.normal(0,0.01,y.shape) return x

%matplotlib inline import random import torch from d2l import torch as d2l #制作数据集 def syn_data(w,b,num_examples): x = torch.normal(0,1,(num_examples,len(w))) y = torch.matmul(x,w)+b y=y +torch.normal(0,0.01,y.shape) return x,y.reshape((-1,

import torch x = torch.arange(12) x tensor([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) x.shape torch.Size([12]) x.numel() 12 x=x.reshape(3,4) x tensor([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) torch.zeros((2,3,4)) tensor([[[0., 0.,