https://zhuanlan.zhihu.com/p/28494550
配置Ubuntu静态地址
sudo gedit /etc/network/interfaces
interfaces(5) file used by ifup(8) and ifdown(8)
auto enp6s0
iface enp6s0 inet static
address 192.168.0.26
netmask 255.255.255.0
broadcast 192.168.0.255
gateway 192.168.0.1
sudo gedit /etc/resolv.conf
nameserver 114.114.114.114
sudo /etc/init.d/networking restart
sudo gedit /etc/resolvconf/resolv.conf.d/base(如无效使用)
挂载U盘
sudo mkdir /mnt/usb
df
sudo mount /dev/sda1 /mnt/usb
cd /mnt/usb
sudo umount /mnt/usb
sudo umount /dev/sda1 /mnt/usb
用户名ubuntu不在sudoers文件中，此事将被报告
sudo gedit /etc/sudoers添加：
ubuntu ALL=(ALL:ALL) ALL
Ubuntu16.04 下创建新用户yang并赋予sudo权限
adduser username
sudo gedit /etc/sudoers
yang ALL=(ALL:ALL) ALL
修改root密码
sudo passwd root
Ubuntu 16.04+CUDA 9.1+cuDNN v7+OpenCV 3.4.0+Caffe+PyCharm 完全安装指南，国内最全！(适用CUDA 9.0)
https://blog.csdn.net/qq473179304/article/details/79444609
Ubuntu16.04 安装 CUDA9.2
https://blog.csdn.net/EliminatedAcmer/article/details/80528980
tensorflow 安装GPU版本，个人总结，步骤比较详细
https://blog.csdn.net/gangeqian2/article/details/79358543
Ubutu16.04+Cuda9.2/9.0+Cudnn7.12/7.05+TensorFlow-gpu-1.8/1.6
http://www.cnblogs.com/wjy-lulu/p/9119905.html
Ubuntu 16.04 + Nvidia 显卡驱动 + Cuda 8.0 （问题总结 + 解决方案）
https://blog.csdn.net/zafir_410/article/details/73188228?utm_source=itdadao&utm_medium=referral
Ubuntu+Tensorflow+CUDA8.0+cudnn
https://blog.csdn.net/icehui2012/article/details/62219008
http://www.52nlp.cn/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%BB%E6%9C%BA%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE-ubuntu16-04-geforce-gtx1080-tensorflow
Ubuntu + CUDA9.0 + tensorflow-gpu 安装过程
https://blog.csdn.net/qq_35976351/article/details/79325476
1.安装依赖包
sudo apt-get update
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
sudo apt-get install git cmake build-essential
2.安装显卡驱动
https://www.geforce.cn/drivers
sudo gedit /etc/modprobe.d/blacklist-nouveau.conf
blacklist nouveau
options nouveau modeset=0
sudo update-initramfs -u
lsmod | grep nouveau
sudo apt-get remove nvidia-*
sudo apt-get autoremove
sudo nvidia-uninstall
reboot
Ctrl+Alt+F1
sudo service lightdm stop
sudo bash NVIDIA-Linux-x86_64-390.48.run -no-x-check -no-nouveau-check -no-opengl-files
sudo service lightdm restart
nvidia-settings
Ubuntu开机无法进入系统问题（NVIDIA显卡驱动相关）
https://blog.csdn.net/ezhchai/article/details/78788564
https://blog.csdn.net/ezhchai/article/details/80525207
sudo vim /etc/default/grub
GRUB_CMDLINE_LINUX_DEFAULT=”quiet splash”改成GRUB_CMDLINE_LINUX_DEFAULT=”quiet splash nomodeset”
sudo update-grub
3.配置环境变量
sudo gedit ~/.bashrc
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
4.安装 CUDA 9.1
sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev
sudo sh cuda_9.1.85_387.26_linux.run --no-opengl-libs
sudo gedit ~/.bashrc
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
source ~/.bashrc
cd /usr/local/cuda-9.1/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery
安装cuDNN v7
cd cuda/include
sudo cp cudnn.h /usr/local/cuda/include/ #复制头文件
cd ../lib64
sudo cp lib* /usr/local/cuda/lib64/
cd /usr/local/cuda/lib64/
sudo rm -rf libcudnn.so libcudnn.so.7
sudo ln -s libcudnn.so.7.0.5 libcudnn.so.7
sudo ln -s libcudnn.so.7 libcudnn.so
sudo apt-get install vim-gtk
sudo vim /etc/ld.so.conf.d/cuda.conf
/usr/local/cuda/lib64
sudo ldconfig
sudo ldconfig -v
nvcc -V
Ubuntu16.04安装Anaconda3.5
sudo bash Anaconda3-5.1.0-Linux-x86_64.sh
anaconda-navigator
sudo gedit /etc/profile
sudo vim /etc/profile
sudo vim ~/.bashrc
export PATH="/home/ubuntu/anaconda3/bin:$PATH"
source /etc/profile
source ~/.bashrc
echo $PATH
python --version
conda --version
conda list
conda info --envs
conda update -n base conda
conda update conda
conda create -n tensorflow36 python=3.6
conda remove -n tensorflow36 --all
conda config --add channels
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
conda install numpy
source activate tensorflow36
source deactivate
sudo apt install python3-pip
python3 -m pip install --upgrade pip --force-reinstall
pip install
-i https://pypi.tuna.tsinghua.edu.cn/simple/
https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/gpu/
python
import tensorflow as tf
hello=tf.constant('hello,Tensorflow')
sess=tf.Session()
print(sess.run(hello))
pip3 install tf_nightly-1.6.0.dev20180114-cp36-cp36m-manylinux1_x86_64.whl
查看已安装TensorFlow版本和安装路径
python
import tensorflow as tf
tf.\__version__
tf.\__path__
完全卸载tensorflow
查看tensorflow版本
sudo pip show tensorflow
卸载：
sudo pip uninstall protobuf
sudo pip uninstall tensorflow
安装：
sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl
安装pip
sudo apt-get install python-pip python-dev build-essential
sudo pip install --upgrade pip
sudo -H python -m pip install --upgrade pip
问题：使用pip出现
Traceback (most recent call last):
File "/usr/bin/pip3", line 9, in <module>
from pip import main
ImportError: cannot import name 'main'
sudo python -m pip uninstall pip && sudo apt install python-pip --reinstall
在ubuntu中使用pip报一下错误:
/usr/bin/pip: No such file or directory pip can no longer be found:
可以采用以下方式解决
which pip
pip
type pip
hash -r
Anaconda的jupyter notebook中配置tensorflow
(解决ImportError : No Moduled Name "tensorflow)
在/home/ubuntu/anaconda3/lib/python3.6/site-packages
新建path.pth,添加：
/home/ubuntu/anaconda3/envs/tensorflow36/lib/python3.6/site-packages
jupyter notebook下python2和python3共存
https://www.cnblogs.com/pertor/p/8728291.html
如果安装了python2和者python3：
python2 -m pip install ipykernel
python2 -m ipykernel install --user
python3 -m pip install ipykernel
python3 -m ipykernel install --user
Ubuntu16.04安装Teamviewer
https://www.teamviewer.com/zhcn/download/linux/
sudo apt-get -f install
sudo dpkg -i teamviewer_13.1.8286_amd64.deb
teamviewer
Ubuntu16.04安装搜狗拼音输入法（中文输入法）
https://www.cnblogs.com/darklights/p/7722861.html
Ubuntu 16.04安装谷歌 Chrome 浏览器
https://blog.csdn.net/wql2014302721/article/details/78571362
Ubuntu16.04安装pycharm
https://blog.csdn.net/yucicheung/article/details/79336258
http://www.jetbrains.com/pycharm/download/#section=linux
sh ./pycharm.sh #在解压缩文件目录的bin/下执行
Ubuntu 16.04 用户登录界面死循环问题的解决
方法1：
CTRL+ALT+F1进入文本模式
sudo apt-get remove nvidia-*
sudo apt-get autoremove
sudo nvidia-uninstall
reboot
Ctrl+Alt+F1
sudo service lightdm stop
sudo bash NVIDIA-Linux-x86_64-390.48.run -no-x-check -no-nouveau-check -no-opengl-files
https://blog.csdn.net/miclover_feng/article/details/79201865
方法2：
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get remove --purge nvidia-*
sudo apt-get autoremove #特别重要
sudo apt-get install -f #特别重要
sudo reboot
sudo apt-get install nvidia-384
https://www.jianshu.com/p/d45434f28ca0
ubuntu重装系统
问题：nouveau 000:01:00.0: fifo: SCHED_ERROR 08
- BIOS选择启动项到U盘，华硕主板电脑启动电脑，按F8进入。
显示Install Ubuntu，先不要点install Ubuntu这个选项。按F6，再
按e键，进入编辑页面，在倒数第二行中，ro quiet splash后面添加nomodeset，这样进入系统后不会因为独显驱动问题而导致黑屏了。 - 重启，狂按ESC，进入到grub，按e，进入编辑。导数第二行找到quiet splash， 将quiet splash $vt_handoff改为quiet splash nomodeset，ctrl+x重启。
查看显卡驱动
lshw -c video
查看configurure有driver字样
nvidia-smi
查看GPU型号
lspci | grep -i vga
查看NVIDIA驱动版本
sudo dpkg --list | grep nvidia-*
查看磁盘空间
sudo fdisk -l
df -h
ubuntu的which、find、whereis、locate命令
which 只能寻找可执行文件 ，并在PATH变量里面寻找。
find 是直接在硬盘上搜寻，功能强大，但耗硬盘，一般不要用。
whereis 从linux文件数据库（/var/lib/slocate/slocate.db）寻找，所以有可能找到刚刚删除，或者没有发现新建的文件，全部匹配。
locate 同上,不过文件名是部分匹配。
1、查看内存的插槽数，已经使用多少插槽。每条内存多大，已使用内存多大
sudo dmidecode|grep -P -A5 "Memory\s+Device"|grep Size|grep -v Range
2、查看内存支持的最大内存容量
sudo dmidecode|grep -P 'Maximum\s+Capacity'
3、查看内存的频率
sudo dmidecode|grep -A16 "Memory Device"
sudo dmidecode|grep -A16 "Memory Device"|grep 'Speed'
警告：Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
链接：https://blog.csdn.net/hq86937375/article/details/79696023
吴恩达deeplearning课程作业环境:
链接：https://blog.csdn.net/pkrobbie/article/details/79346722
Tensorflow Ubuntu16.04上安装及CPU运行tensorboard、CNN、RNN图文教程
https://blog.csdn.net/wizen641372472/article/details/72675549
