by Sho Nakagome
A repository for practicing deep learning implementation using tensorflow and other equivalent deep learning libralies.
There are ipython notebook implementation and python code implementation (tensorboard). Usually jupyter notebook is just to show what kinds of analysis I performed and the python code implementation is more for practical usage with some other visualizations using tensorboard.
Please check inside the folder named "python_codes" in this repository. These codes are similar to the jupyter notebook implementation above, but are more practical and nicely organized codes with a little more features added (e.g. tensorboard).
You can see the "README.md" inside the folder to see what kinds of tensorboard visualization you can see after running the code.
- Windows 10, Python 3.6, tensorflow-gpu 1.4.0 and 1.5.0
- Ubuntu 16.04, Python 3.6, tensorflow-gpu 1.4.0 and 1.5.0
- GPU: GTX1070
If you see some errors or issues, please feel free to post it to the Issues on this repository. I would appreciate for any feedbacks.