Distributed Deep Learning with Caffe Using a MapR Cluster

#artificialintelligence 

We have experimented with CaffeOnSpark on a 5 node MapR 5.1 cluster running Spark 1.5.2 and will share our experience, difficulties, and solutions on this blog post. Deep learning is getting a lot of attention recently, with AlphaGo beating a top world player at a game that was thought so complicated as to be out of reach of computers just five years ago. Deep learning is not just beating humans at Go, but also at pretty much every Atari computer game. But the fact is, deep learning is also useful for tasks with clear enterprise applications in the fields of image classification and speech recognition, AI chat bots and machine translation, just to name a few. Caffe is a C /CUDA deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC).