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TensorFlow Tutorials

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Built from makenew/python-package.

Description

Tutorials for TensorFlow.

Requirements

  • Python 3.6 (tested on Linux 64-bit).
  • A TensorFlow distribution appropriate to your environment.

Installation

Add this line to your application's requirements.txt

https://github.com/rxedu/tensorflow-tutorials/archive/master.zip

and install it with

$ pip install -r requirements.txt

If you are writing a Python package which will depend on this, add this to your requirements in setup.py.

Alternatively, install it directly using pip with

$ pip install https://github.com/rxedu/tensorflow-tutorials/archive/master.zip

Development and Testing

Source Code

The tensorflow-tutorials source is hosted on GitHub. Clone the project with

$ git clone https://github.com/rxedu/tensorflow-tutorials.git

Requirements

You will need Python 3 with pip.

Install the development dependencies with

$ pip install -r requirements.devel.txt

Tests

Lint code with

$ python setup.py lint

Run tests with

$ python setup.py test

Run tests automatically on changes with

$ ptw

Documentation

Generate documentation with

$ make docs

Publish to GitHub Pages with

$ make gh-pages

Contributing

Please submit and comment on bug reports and feature requests.

To submit a patch:

  1. Fork it (https://github.com/rxedu/tensorflow-tutorials/fork).
  2. Create your feature branch (git checkout -b my-new-feature).
  3. Make changes. Write and run tests.
  4. Commit your changes (git commit -am 'Add some feature').
  5. Push to the branch (git push origin my-new-feature).
  6. Create a new Pull Request.

License

This Python package is licensed under the MIT license.

Warranty

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright holder or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

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