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About SparkNet Training Deep Networks in Spark PDF
SparkNet is a framework for training deep neural networks in Apache Spark. It provides a Scala interface to the Caffe deep learning framework and a lightweight tensor library. Using a simple parallelization scheme for stochastic gradient descent, SparkNet scales well with cluster size and tolerates high-latency communication. It is easy to deploy and use with no parameter tuning, compatible with existing Caffe models. The authors benchmark SparkNet's performance on ImageNet, quantifying the dependence of speedup on machine count, communication frequency, and cluster overhead.
Detailed Information
Author: | ['Elena Lambrescu'] |
---|---|
Publication Year: | 2020 |
Pages: | 13 |
Language: | English |
Format: | |
Price: | FREE |
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