The documentation that exists today with respect to getting a GPU up and running and detailed analysis of convet architecture is so thorough and well explained that anyone following my old post would probably be doing themselves a diservice as well as installing a bunch of old gpu software. I decided to just scrap the post altogether and save the re-write for another time.
Since you're already here..
If you came to this blog to legimately learn how CNNs work, just head here: http://colah.github.io/posts/2014-07-Understanding-Convolutions/ or here: http://deeplearning.net/tutorial/lenet.html
If that didn't satisfy you, try some of these:
If all of this is entirely confusing to you and you're looking for somewhere in this weird science to lay your roots, check out this old classic: Bayesian Methods for Hackers. It's better to start here with a strong foundation for the 99.9% of the problems you'll ever face than to try to deep learn all the things.