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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- 5 stars70.32%
- 4 stars21.53%
- 3 stars5.82%
- 2 stars1.53%
- 1 star0.76%
來自PRODUCTION MACHINE LEARNING SYSTEMS的熱門評論
Really focuses on topics for building production ML Systems
I got lots of new skills and I think it's a great course for ML
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Course is a bit outdated.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.
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