TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)

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TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. This talk highlights TFX's support of pre-training aspects of a Machine Learning pipeline, including Data Validation and Transformation.

Speaker:
Clemens Mewald, Product Manager

event: TensorFlow Dev Summit 2019; re_ty: Publish; product: TensorFlow - TensorFlow Extended; fullname: Clemens Mewald;
  1. TensorFlow
  2. type: Conference Talk (Full production);
  3. pr_pr: TensorFlow
  4. purpose: Educate
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Комментарии
Автор

Glad to see TF moving towards being business tool rather than purely scientific tool

jaffarbh
Автор

Hi there !
Should the tfx example validator report an anomaly, how can we configure the pipeline to stop ?
This seems not possible at the moment.

Thank you for any advice :) !

fossared
Автор

Hi, is there a code repository we can refer to on how to use the Metadata-Powered Functionalities, especially the Re-use previously computed outputs? Thanks.

jasonz.