TensorFlow Serving培训

课程编码

tensorflowserving

课程时长

7 小时 通常来说是1天,包括中间休息。

要求

  • Experience with TensorFlow
  • Experience with the Linux command line

Audience

  • Developers
  • Data scientists

课程概览

TensorFlow Serving是一个为机器学习(ML)模型提供服务的系统。 在这个有指导的现场培训中,参与者将学习如何配置和使用TensorFlow Serving在生产环境中部署和管理ML模型。 在培训结束后,参与者将能够: 培训,出口和服务各种TensorFlow模型使用单一架构和一组API来测试和部署算法扩展TensorFlow服务于TensorFlow型号之外的其他类型的模型 听众 开发商数据科学家 课程的格式 部分讲座,部分讨论,练习和沉重的练习

Machine Translated

课程大纲

TensorFlow Serving Overview

  • What is TensorFlow Serving?
  • TensorFlow Serving architecture
  • Serving API and REST client API

Preparing the Development Environment

  • Installing and configuring Docker
  • Installing ModelServer with Docker

TensorFlow Server Quick Start

  • Training and exporting a TensorFlow model
  • Monitoring storage systems
  • Loading exported model
  • Building a TensorFlow ModelServer

Advanced Configuration

  • Writing a config file
  • Reloading Model Server configuration
  • Configuring models
  • Working with monitoring configuration

Testing the Application

  • Testing and running the server

Debugging the Application

  • Handling errors

TensorFlow Serving with Kubernetes

  • Running in Docker containers
  • Deploying serving clusters

Securing the Application

  • Hiding data

Troubleshooting

Summary and Conclusion

客户评论

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