[1511.06051] SparkNet: Training Deep Networks in SparkTraining deep networks is a time-consuming process, with networks for object recognition often requiring multiple days to train. For this reason, leveraging the resources of a cluster to speed up training is an important area of work. However, widely-popular batch-processing computational frameworks like MapReduce and Spark were not designed to support the asynchronous and communication-intensive
GitHub - amplab/SparkNet: Distributed Neural Networks for Spark
Real-time Recommendations using Spark Comcast Labs
