This blog series collects useful insights for working with Ubuntu. In this article, I describe how to avoid building problems when building Tensorflow on an NFS-mounted
$HOME directory and how to install CUDA 8.0 without a manual driver installation.
This series collects tips and tricks for working with Ubuntu: installing Jupyter/IPython, Caffe not finding CUDA, NVidia login loop and monitoring GPU usage.
Caffe  is a popular deep learning framework used within the computer vision community. The first challenge when working with Caffe (at least for me) is setting up CUDA on Ubuntu. In this article, I want to share my experience on how to install CUDA 7 on Ubuntu 14.04.