Presented by O'Reilly and Cloudera
Make Data Work
July 12-13, 2017: Training
July 13-15, 2017: Tutorials & Conference
Beijing, China

云深度学习平台架构与实践 (Architecture and practices of a cloud-based deep learning platform)

此演讲使用中文 (This will be presented in Chinese)

Dihao Chen (第四范式技术有限公司), Jianwei Cui (小米)
13:10–13:50 Saturday, 2017-07-15
AI应用 (AI applications)
Location: 多功能厅8A+8B(Function Room 8A+8B) 观众水平 (Level): 高级 ()

必要预备知识 (Prerequisite Knowledge)


您将学到什么 (What you'll learn)


描述 (Description)

  • 介绍深度学习基础以及在企业内部的使用情况。
  • 介绍小米cloud-ml平台的架构设计和实现原理。
  • 介绍分布式系统如何解耦以及实现高可用脚本。
  • 介绍如何通过容器技术实现通用的多机器学习框架的支持。
  • 介绍如何将让深度学习应用迁移到云端,并且实现云端的模型服务。

Dihao Chen and 崔建伟 explore the foundation of deep learning and its applications in enterprises and introduce the architecture design and principles of Xiaomi’s cloud-ml platform. Along the way, they share how to decouple in a distributed system, scripts to implement high availability

, how to support general and multiple machine learning frameworks by using container technologies, and how to migrate deep learning applications into the cloud and implement cloud-based model services.

Photo of Dihao Chen

Dihao Chen



Photo of Jianwei Cui

Jianwei Cui



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