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    Production Machine Learning Systems

    课程 navigate_next 概览

    Production Machine Learning Systems

    magic_button Machine Learning Model Training Machine Learning Operations Machine Learning Models
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    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.

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    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)
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