Loading...
No results found.
    Поділитися в стрічці LinkedIn 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 Огляд

    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 год Середній universal_currency_alt 35 кредитів

    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.

    Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

    Значок за Production Machine Learning Systems
    info
    Інформація про курс
    Цілі
    • Compare static versus dynamic training and inference
    • Manage model dependencies
    • Set up distributed training for fault tolerance, replication, and more
    • Export models for portability
    Рівень попередньої підготовки
    Basic SQL, familiarity with Python and TensorFlow
    Аудиторія
    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.
    Доступні мови
    English, español (Latinoamérica), français, 日本語 та português (Brasil)
    Попередній перегляд