Welcome to Hexo! This is the very first post after the blog being rebuilt based on Hexo. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub.
1 | $ hexo new "My New Post" |
More info: Writing
1 | $ hexo server |
More info: Server
1 | $ hexo generate |
More info: Generating
1 | $ hexo deploy |
More info: Deployment
Windows Installer 相关的一些奇葩error的解决
需要保证用户环境变量、系统环境变量中TEMP、TMP所指向的目录均存在。C:\\Windows\\Installer目录需存在。Windows Installer服务也被启用。
directx sdk error code s1023
Uninstall vcredist 2010 x86&x64, install directx sdk and reinstall vcredist 2010 x86&x64.
windows installer 临时文件夹已满或不能访问
Check C:\\Windows\\Installer with permissons guaranteed.
` windows installer error code 2503/2502
Check the permissions of C:\WINDOWS\TEMP
这门课程在整个本科CS的课程体系中似乎没有多少地位，但在研究方面是相当有分量的。
然而难以听懂、吸收。
正如葛洪伟老师所言，如果这门课讲述的是喜闻乐见、生动有趣的轶事，普罗大众都可旁听，没有门槛，那么就不能产生足够的价值。
这门课必然是枯燥乏味的。
GRE is a standardizing form of test
Prepare for deep learning based on GPU with Python
OS: Ubuntu 16.04
Building prerequisities: make build-essential python3-dev
Parallel computing prerequisities: cuda8.0 cudnn6.0
export CUDA_HOME=/usr/local/cuda
export PATH=$PATH:/usr/include:/usr/local/cuda/include
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib:/usr/lib/x86_64-linux-gpu/:usr/local/cuda/lib64
chainer tensorflow-gpu cupynvidia-cuda-dev is only required when building cupy locally.
If python package installation fails, try with sudo pip install --force-reinstall --ignore-installed --no-cache-dir -vvvv to debug.
What if python is pre-installed without pip in Ubuntu?
https://pypi.python.org/pypi/pip
tar -xzvf pip-9.0.1.tar.gz
cd pip-9.0.1
python setup.py install
wget https://pypi.python.org/packages/a4/c8/9a7a47f683d54d83f648d37c3e180317f80dc126a304c45dc6663246233a/setuptools-36.5.0.zip#md5=704f500dd55f4bd0be905444f3ba892c
unzip setuptools-36.5.0.zip
cd setuptools-36.5.0/
sudo python setup.py install