I am working on a project that aims to solve home inventory evaluations (that is to say what is your stuff worth helping with filing homeowners insurance claims, estate planning, etc.) in part with a neural net.
Taking the initiative, a colleague and I are going to build our own servers since AWS has been a real stumbling block. My coworker (assuming this is the same buddy you refer to in the previous sentence? If so, carry whatever language you initially use to describe him to be consistent) is taking a different class and combined we are going to have the following stack
and ROS ( https://en.wikipedia.org/wiki/Robot_Operating_System ).
We are using NVDIda 1080 from asus.
Has anyone tried to do it and/or have suggestions or feedback? Any resources?
We are going to follow this website ( http://deeplearningathome.com/2016/09/Building-PC-For-Deep-Learning-Hardware.html ) and any scripts and tips along the way I will put into the wiki.