Anaconda Refers to an open source Python Release version , It contains conda、Python And so on .
Installation can refer to ：https://blog.csdn.net/ITLearnHall/article/details/81708148
Jupyter It's data analysis 、 Common tools for machine learning , The advantage is ：
Code can be 、 Documents, etc , Let users know at a glance .
Installation can refer to ：https://jupyter.org/install perhaps https://blog.csdn.net/Lee_J_R/article/details/52791228
for example ：
pip install jupyterlab
notes ： If command "jupyter notebook" Report errors , Try the following ways to solve ：
1） take "…/Python\Python37\site-packages" Add to path , The key for site-packages;
2） Use command "python -m notebook" command
Open the interface as follows ：
In deep learning, it is inevitable to use GPU, Therefore, the installation of Torch Need to be GPU edition , So install first CUDA, Steps are as follows ：
1） open NVIDIA Control panel , Click Help , Check system information ：
2） Pay attention to your driver version ： My is 399.24
3） Query driver version and CUDA Correspondence of ：
The source of the picture is as follows ：
4） stay CUDA Find the corresponding version on the official website , The official website is as follows , I chose 9.2 edition ：
5） Download and install it , It should be noted that Please select a custom installation , And uncheck visual studio, Specific reference to ：
This article needs to use PyTorch frame , The installation address is as follows ：
Specific steps ：
1） Select the appropriate installation command ：
2） Use domestic image ：
Due to timeout error during direct installation , Therefore, it needs to be moved to the domestic image , Common domestic images can be referred to ：
Take Alibaba cloud for example , The installation command can be as follows , Add the following statement to pythoch In the initial command ：
-i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
The final order is as follows ：
pip install -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com torch==1.3.1+cu92 torchvision==0.4.2+cu92 -f https://download.pytorch.org/whl/torch_stable.html
If it appears "Read time out" error , Please try a few more times , Or change to another image source (#^.^#)
3） Check to see if the installation was successful ：
import torch print(torch.cuda.is_available())
If output True, Installation succeeded .
Thanks to Li Mu 、Aston Zhang Wait for the teacher's book 《 Hands-on deep learning 》 A Book , It has provided great help for my deep learning . A series of blogs about deep learning in this article have no intention of infringement , Just to record your in-depth learning process .
project Github Address ：https://github.com/ShusenTang/Dive-into-DL-PyTorch