Article

BigDL: Distributed Deep Learning on Apache Spark*

As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
Автор: Последнее обновление: 11.03.2019 - 13:17
Article

BigDL:一种面向 Apache Spark* 的分布式深度学习库

深度学习作为分布式机器学习的主要框架,将其添加至颇为常用的 Spark 框架具有重要意义,有助于 Spark 开发人员在单个框架内处理各种数据分析任务—包括数据处理、交互式查询和数据流处理。BigDL 提供三个重要特性,分别是丰富的深度学习支持、较高的单节点至强性能以及利用 spark 架构实现高效的横向扩展。
Автор: Последнее обновление: 11.03.2019 - 13:17
Article

BigDL – Apache Spark* 集群上的横向扩展深度学习

要点综述
Автор: Sunny G. (Intel) Последнее обновление: 11.03.2019 - 13:17