180209 Install CUDA-8.0 and cudnn-6.0 on Ubuntu

Keras Installation Guide
ubuntu14.04 Installation and Check CUDA8.0

CUDA 8.0 download

# System Update
>>> sudo apt update
>>> sudo apt upgrade
# Install basic packages of Python
>>> sudo apt install -y python-dev python-pip python-nose gcc g++ git gfortran vim

# Install accelerate packages
sudo apt install -y libopenblas-dev liblapack-dev libatlas-base-dev

>>> sudo dpkg -i cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb # download a new package if failed
>>> sudo apt update
>>> sudo apt -y install cuda

>>> sudo gedit /etc/bash.bashrc
''' add the following 
export CUDA_HOME=/usr/local/cuda-8.0
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
'''

>>> sudo gedit ~/.bashrc
''' add the following 
export CUDA_HOME=/usr/local/cuda-8.0
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
'''

# Close the current terminal and reopen another terminal and Check
# and run the following code after.
>>> nvcc -V

cudnn download

wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0.tgz

$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*