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.
Об этом курсе
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Лучшие отзывы о курсе PRODUCTION MACHINE LEARNING SYSTEMS
It was bit hard course but lab work was great and learn many production level consideration for ml systems.
very good information. Lot of unknown facts in ML are brought up in the course.
Really focuses on topics for building production ML Systems
Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.
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Это один из немногих курсов на Coursera, которые предоставляются только на платной основе.
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Last Updated: September 1, 2015
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