AI环境搭建

1. 安装anoconda 3.5.1
2. conda create -n tensorflow python=3.7.0
3. pip install tensorflow==1.15.0 -i  http://mirrors.aliyun.com/pypi/simple/  --trusted-host mirrors.aliyun.com
4. python -m pip install --upgrade pip
5. pip install Pyhamcrest matplotlib tk sklearn scipy==1.1.0 Pillow==6.0.0 -i  http://mirrors.aliyun.com/pypi/simple/  --trusted-host mirrors.aliyun.com
6. minist 碰到的问题
https://stackoverflow.com/questions/49901806/warning-please-use-alternatives-such-as-official-mnist-dataset-py-from-tensorfl

7.models练习

git config --global http.lowSpeedLimit 0

git config --global http.lowSpeedTime 999999

git config  --global   http.sslVerify "false"

git config --global http.postBuffer 2G

git clone --recurse-submodules https://github.com/tensorflow/models

下载models，复制到D:\ProgramData\Anaconda3\envs\tensorflow\Lib\site-packages\tensorflow_core

8. 安装torch
conda create -n torch python=3.7.0

pip install numpy pyyaml mkl mkl-include setuptools cmake cffi typing  --default-timeout=100 -i  http://mirrors.aliyun.com/pypi/simple/  --trusted-host mirrors.aliyun.com

pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html --default-timeout=1000