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Last Commit
Jul. 25, 2017
Feb. 20, 2017

Lab code (WIP), but call for comments

Build Status

This is code for labs covered in TensorFlow basic tutorials (in Korean) at (We also have a plan to record videos in English.)

This is work in progress, and may have bugs. However, we call for your comments and pull requests. Check out our style guide line:

Lab slides:

We welcome your comments on slides.

File naming rule:

  • klab-XX-X-[name].py: Keras labs code
  • lab-XX-X-[name].py: TensorFlow lab code
  • mxlab-XX-X-[name].py: MXNet lab code

Install requirements

pip install -r requirements.txt

Run test and autopep8

TODO: Need to add more test cases

python -m unittest discover -s tests;

pip install autopep8 # if you haven't install
autopep8 . --recursive --in-place --pep8-passes 2000 --verbose

Automatically create requirements.txt

pip install pipreqs

pipreqs /path/to/project


We always welcome your comments and pull requests.

Reference Implementations