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I can't find values of regularization strength that matter for this problem.

notedown wide.md --to notebook --output wide.ipynb

from https://github.com/tensorflow/tensorflow/blob/8a6ef2cb4f98bacc1f821f60c21914b4bd5faaef/tensorflow/docs_src/tutorials/representation/wide.md

update module to tensorflow 1.9.0

Releasing code for Adversarial Logit Pairing

Small typo fix

Changed line 194 "acess"->"access"

* Use six and feature detection in string conversion

Leverage [__six.ensure_text()__](https://github.com/benjaminp/six/blob/master/six.py#L890) to deliver Unicode text in both Python 2 and Python 3.

Follow Python porting best practice [use feature detection instead of version detection](https://docs.python.org/3/howto/pyporting.html#use-feature-detection-instead-of-version-detection) in ___unicode_to_native()__.

* Revert the use of six.ensure_text()

Thanks for catching that!  I jumped the gun.  It is I who have brought shame...

* update

* update

* Update deep_speech.py

* update

* update

* update

* update

* update

Add note about ML fairness

* Rename of files in README.md

The name of the files to run specified in the README.md file were not updated.

* Missed one file name change

Typos

Renames for r1.9