hunkim/DeepLearningZeroToAll
hunkim/DeepLearningZeroToAll has 4,480 GitHub stars and 2,588 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-07 15:38 UTC. Last push 2023-10-31.
TensorFlow Basic Tutorial Labs
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README.md
OriginalLab code (WIP), but call for comments
This is code for labs covered in TensorFlow basic tutorials (in Korean) at https://youtu.be/BS6O0zOGX4E. (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:
- More TF (1.0) style: use more recent and decent TF APIs.
- More Pythonic: fully leverage the power of python
- Readability (over efficiency): Since it's for instruction purposes, we prefer readability over others.
- Understandability (over everything): Understanding TF key concepts is the main goal of this code.
- KISS: Keep It Simple Stupid! https://www.techopedia.com/definition/20262/keep-it-simple-stupid-principle-kiss-principle
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;
# http://stackoverflow.com/questions/14328406/
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
http://stackoverflow.com/questions/31684375
Contributions/Comments
We always welcome your comments and pull requests.
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