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@MarkDaoust MarkDaoust commented Nov 7, 2018

  • Rewrite intro
  • Add more headings
  • Put more emphasis on tf.data.
  • Use backticks for api-references more, tf.symbol, (these are auto-linked to api pages in the site.)
  • Drop base64
  • Add note about feature_description
  • Set "private_outputs"
  • Use reduce image sizes

Staging:

https://colab.sandbox.google.com/github/MarkDaoust/docs/blob/tf-rec/site/en/tutorials/load_data/tf-records.ipynb

Put more emphasis on `tf.data`.
Use `tf.symbol` more, (these are auto-linked to api pages in the site.)
Drop base64
Add note about feature_description
set privete_outputs
Use reduced size images (ipython inlines them at full res size even if
they're only shown with a limited size.)
@MarkDaoust
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Hi Derek, Jiri

We're hoping to publish this tutorial on TFRecords and tf.Example to fill the documentation gap. It would be nice to get a quick review from the tf.data experts first.

@googlebot googlebot added the cla: yes CLA has been signed label Nov 12, 2018
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@MarkDaoust thank you for the improvements, left some comments for you

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Thanks for all the feedback @jsimsa.

So I think the only outstanding question is: What's the right way to serialize a tf.Example as part of a tf.data pipeline?

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All @jsimsa's comments are resolved.

Any other comments here?

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Is there anything else we need here before a merge?

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Thanks Mark!

@lamberta lamberta merged commit 76c91d0 into tensorflow:master Nov 29, 2018
@MarkDaoust MarkDaoust deleted the tf-rec branch December 11, 2018 21:48
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5 participants