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By Lee Yang, Jun Shi, Bobbie Chern, and Andy Feng (@afeng76), Yahoo Big ML team Introduction Today, we are pleased to offer TensorFlowOnSpark to the community, our latest open source framework for distributed deep learning on big-data clusters. Deep learning (DL) has evolved significantly in recent years. At Yahoo, we’ve found that in order to gain insight from massive amounts of data, we need to
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
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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