Skip to content

dragen1860/Deep-Learning-with-PyTorch-Tutorials

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

68 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PyTorch安装指令

请先安装Anaconda和CUDA 10.0。

  • 配置国内源
# 配置国内源,方便安装Numpy,Matplotlib等
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
# 配置国内源,安装PyTorch用
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
# 显示源地址
conda config --set show_channel_urls yes
  • 安装PyTorch
# 安装PyTorch,要使用国内源请去掉-c pytorch这个参数!!
conda install pytorch torchvision cudatoolkit=10.0
  • 安装常用库
pip install numpy matplotlib pillow pandas

课程链接

课程链接: https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1208894818&_trace_c_p_k2_=61a9e0a511f7409b92a08d4f4c964330

课程大纲: 课程介绍

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy