在 LinkedIn 动态中分享 Twitter Facebook

Google Cloud Skills Boost
Your Learning progress might get lost. Sign in or Join to save your progress.
close

Production Machine Learning Systems

Course navigate_next 概览

Production Machine Learning Systems

magic_button Machine Learning Model Training Machine Learning Operations Machine Learning Models
These skills were generated by A.I. Do you agree this course teaches these skills?
16 个小时 中级 universal_currency_alt 35 积分

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.

This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.

完成此活动，赢取徽章！向世界展示您掌握的技能，拓展云领域的职业之路。

Production Machine Learning Systems徽章
info
课程信息
目标
  • Compare static versus dynamic training and inference
  • Manage model dependencies
  • Set up distributed training for fault tolerance, replication, and more
  • Export models for portability
前提条件
Basic SQL, familiarity with Python and TensorFlow
受众
Data Engineers and programmers interested in learning how to apply machine learning in practice. Anyone interested in learning how to leverage machine learning in their enterprise.
支持的语言
English, español (Latinoamérica), français, 日本語, and português (Brasil)
预览