Zeiler received his Ph.D. in machine learning and image recognition, and his research produced the top 5 results in the 2013 ImageNet classification competition.
In a recent interview with BigData-MadeSimple.com he highlights that GPUs are fueling the deep learning renaissance in recent years.
“For computation, graphics processors have become the “goto” computation device, performing about 30x faster than traditional computer CPUs. This was first used around 5 years ago and enabled much more complex models to process much more data, ultimately providing markedly better performance. Graphics processors also happen to be small, relatively cheap, and easy to operate without a massive data center.”