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4 changes: 4 additions & 0 deletions .gitignore
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**/*.pyc
**/.DS_Store
**/.idea
**/.ipynb_checkpoints
8 changes: 8 additions & 0 deletions AUTHORS
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# This is the official list of TensorFlow authors for copyright purposes.
# This file is distinct from the CONTRIBUTORS files.
# See the latter for an explanation.
# Names should be added to this file as:
# Name or Organization <email address>
# The email address is not required for organizations.
Google Inc.
5 changes: 5 additions & 0 deletions CODEOWNERS
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# https://help.github.com/articles/about-codeowners/
# Last matching pattern takes preecedence.

# Default owners for everything in repo.
* @wolffg @lamberta @MarkDaoust
50 changes: 35 additions & 15 deletions CONTRIBUTING.md
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# Contributing guidelines
# Contributing

To contribute to the TensorFlow examples, please send us a pull request. If you
are new to pull requests, read GitHub's
[About pull requests](https://help.github.com/articles/using-pull-requests/) guide.
You don't need to be a developer to make a significant
impact on TensorFlow documentation and examples-—just a
[GitHubaccount](https://github.com/).

The documentation and code in this repository is licensed under the
[Apache License 2.0](LICENSE).
Questions about TensorFlow usage are best addressed on
[StackOverflow](https://stackoverflow.com/questions/tagged/tensorflow) or the
[[email protected]](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss)
mailing list.

For more details, see the
[TensorFlow contributing guidelines](https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md).
To contribute to the TensorFlow code repositories, see the
[Contributing to TensorFlow](https://www.tensorflow.org/community/contributing) guide
and the
[TensorFlow contribution guidelines](https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md).

### Contributor License Agreements
## Contributor License Agreements

We love patches! So we can publish your changes, you must sign either the
individual or corporate Contributor License Agreement (CLA).
We love patches! To publish your changes, you must sign either the individual or
corporate Contributor License Agreement (CLA):

* If you are an individual writing original documentation or source code and
you're sure you own the intellectual property, sign an
[individual CLA](http://code.google.com/legal/individual-cla-v1.0.html).
* If you work for a company that wants to allow you to contribute your work, sign
a [corporate CLA](http://code.google.com/legal/corporate-cla-v1.0.html).

These links have instructions on how to sign and return the CLA. Once we receive
the CLA, we can accept your pull requests.
We can accept your pull requests after you sign the CLA. We can only receive
original documentation and source code from you and other people that have
signed the CLA.

Note: We can only accept original documentation and source code from you and
other people that have signed the CLA.

# Pull requests

To contribute documentation or code, please send us a pull request. If you are new to
pull requests, read GitHub's
[Creating a pull request from a fork](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)
guide.

Notebooks can be viewed, edited, and run in
[Colab](https://colab.research.google.com/notebooks/welcome.ipynb) by passing
the GitHub path as a URL parameter. For example, open the notebook at
https://github.com/tensorflow/docs/blob/r1.11/site/en/tutorials/keras/basic_classification.ipynb
in Colab here:
https://colab.research.google.com/github/tensorflow/docs/blob/r1.11/site/en/tutorials/keras/basic_classification.ipynb

The [Open in Colab](https://chrome.google.com/webstore/detail/open-in-colab/iogfkhleblhcpcekbiedikdehleodpjo)
Chrome extension will automatically perform the URL substitution.
29 changes: 23 additions & 6 deletions README.md
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<img src="https://www.tensorflow.org/images/tf_logo_transp.png"><br><br>
</div>

We welcome contributions to the TensorFlow examples from the community. See the
[Contributing to TensorFlow](https://www.tensorflow.org/community/contributing)
guide.
<h2>Most important links!</h2>

* [Community examples](./community)
* [Course materials](./courses/udacity_deep_learning) for the [Deep Learning](https://www.udacity.com/course/deep-learning--ud730) class on Udacity

If you are looking to learn TensorFlow, don't miss the
[core TensorFlow documentation](http://github.com/tensorflow/docs)
which is largely runnable code.
Those notebooks can be opened in Colab from
[tensorflow.org](tensorflow.org).

To file an issue, use the tracker in the [tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/issues/new?template=20-documentation-issue.md) repo and add the label `type:docs`.
<h2>What is this repo?</h2>

## Contribution guidelines
This is the TensorFlow example repo. It has several classes of material:

* Showcase examples and documentation for our fantastic [TensorFlow Community](tensorflow.org/community)
* Provide examples mentioned on TensorFlow.org
* Publish material supporting official TensorFlow courses
* Publish supporting material for [blog.tensorflow.org](blog.tensorflow.org) and [youtube.com/tensorflow](youtube.com/tensorflow)

We welcome community contributions, see [CONTRIBUTING.md](CONTRIBUTING.md) and, for style help,
[Writing TensorFlow documentation](https://www.tensorflow.org/community/documentation)
guide.

To contribute documentation, review the [contribution guidelines](CONTRIBUTING.md).
To file an issue, use the tracker in the
[tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/issues/new?template=20-documentation-issue.md) repo.

## License

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5 changes: 5 additions & 0 deletions __init__.py
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"""tensorflow_examples is a package for examples of TensorFlow."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
7 changes: 7 additions & 0 deletions community/README.md
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<h2>TensorFlow Community</h2>

If you want to learn how to join the [TensorFlow community page on tensorflow.org](tensorflow.org/community), see the TensorFlow community page.

Please suggest PRs here for new documentation and samples, and see the
[contributing guide](../CONTRIBUTING.md) for details.
2 changes: 1 addition & 1 deletion courses/udacity_deep_learning/.gitignore
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notMNIST_large*
notMNIST_small*
notMNIST_small*
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FROM gcr.io/tensorflow/tensorflow:latest
FROM gcr.io/tensorflow/tensorflow:1.0.0
LABEL maintainer="Vincent Vanhoucke <[email protected]>"

# Pillow needs libjpeg by default as of 3.0.
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