TFX : Production ML pipelines with TensorFlow / Robert Crowe.

Author
Crowe, Robert [Browse]
Format
Video/Projected medium
Language
English
Εdition
1st edition.
Published/​Created
O'Reilly Media, Incorporated, 2020.
Description
1 online resource.

Details

Subject(s)
Author
Library of Congress genre(s)
Series
Safari Books Online (Series) [More in this series]
Summary note
ML development often focuses on metrics, delaying work on deployment and scaling issues. ML development designed for production deployments typically follows a pipeline model with scaling and maintainability as inherent parts of the design. Robert Crowe and Charles Chen (Google) takes a deep dive into TensorFlow Extended (TFX), the open source version of the ML infrastructure platform that Google has developed for its own production ML pipelines. Prerequisite knowledge Experience with ML development and software development What you'll learn Discover issues and best practices for putting machine learning models and applications into production.
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Source of description
Online resource; Title from title screen (viewed February 28, 2020)
Participant(s)/​Performer(s)
Presenter, Robert Crowe, Charles Chen.
OCLC
1143019162
Other standard number
  • 0636920373865
Statement on language in description
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