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.
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- 4 stars21.42%
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來自PRODUCTION MACHINE LEARNING SYSTEMS的熱門評論
This course reveals some practical techniques in Production Machine Learning Systems. I like the real world examples introduced in this course.
Course is a bit outdated. E.g., KubeFlow section and references to ML Engine.
very good information. Lot of unknown facts in ML are brought up in the course.
Awesome course for Production of machine learning mode.
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
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Last Updated: September 1, 2015