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.
Über diesen Kurs
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- 5 stars70,26 %
- 4 stars21,58 %
- 3 stars5,83 %
- 2 stars1,54 %
- 1 star0,77 %
Top-Bewertungen von PRODUCTION MACHINE LEARNING SYSTEMS
very good information. Lot of unknown facts in ML are brought up in the course.
It was bit hard course but lab work was great and learn many production level consideration for ml systems.
direct to the point practical guidance for dev stage prod sequence
very good for people who will enter the production stage on machine learning systems
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Was bekomme ich, wenn ich mich anmelde?
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Wenn Sie den Kurs erfolgreich abschließen, wird der Seite „Errungenschaften“ Ihr elektronisches Kurszertifikat hinzugefügt – von dort können Sie Ihr Kurszertifikat ausdrucken oder es zu Ihrem LinkedIn-Profil hinzufügen.
Warum kann ich nicht als Gast an diesem Kurs teilnehmen?
Dieser Kurs ist einer der wenigen auf Coursera angebotenen Kurse, die derzeit ausschließlich für Kursteilnehmer zugänglich sind, die bezahlt oder finanzielle Unterstützung erhalten haben, wenn diese verfügbar ist.
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Last Updated: September 1, 2015
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