CaffeOnSpark Open Sourced for Distributed Deep... | Hadoop at Yahoo
By Andy Feng(@afeng76), Jun Shi and Mridul Jain (@mridul_jain), Yahoo Big ML Team Introduction Deep learning (DL) is a critical capability required by Yahoo product teams (ex. Flickr, Image Search) to gain intelligence from massive amounts of online data. Many existing DL frameworks require a separated cluster for deep learning, and multiple programs have to be created for a typical machine learni
Large Scale Distributed Deep Learning on Hadoop... | Hadoop at Yahoo
By Cyprien Noel, Jun Shi and Andy Feng (@afeng76), Yahoo Big ML Team Introduction In the last 10 years, Yahoo has progressively invested in building and scaling Apache Hadoop clusters with a current footprint of more than 40,000 servers and 600 petabytes of storage spread across 19 clusters. As discussed at the 2015 Hadoop Summit, we have developed scalable machine learning algorithms on these clu
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GitHub - yahoo/CaffeOnSpark: Distributed deep learning on Hadoop and Spark clusters.
Spark Summit 2013 - Integration into the Yahoo! Data and Analytics Platform - Tim Tully
Real-time Recommendations using Spark Comcast Labs
