https://github.com/kbreininger/tutorial-dlframework

Step-by-step tutorial to improve understanding of common operators in Deep Learning frameworks.
https://github.com/kbreininger/tutorial-dlframework

Last synced: 1 day ago
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Step-by-step tutorial to improve understanding of common operators in Deep Learning frameworks.

• Host: GitHub
• URL: https://github.com/kbreininger/tutorial-dlframework
• Owner: kbreininger
• License: other
• Created: 2018-09-21T08:47:11.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2021-11-16T17:22:03.000Z (almost 3 years ago)
• Last Synced: 2024-08-03T15:17:51.157Z (3 months ago)
• Language: Python
• Size: 12.3 MB
• Stars: 39
• Watchers: 4
• Forks: 18
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: license.txt

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README

        
# Tutorial: How to Build a Deep Learning Framework

by Katharina Breininger and Tobias Wuerfl

Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nuernberg, Erlangen, Germany

## How to start the tutorial:

The tutorial is implemented as a jupyter notebook. 

To start the tutorial, open a terminal, change to the the main folder (the folder this README is located in) and then type jupyter notebook to launch the Jupyter Notebook App. It will open in a new browser tab.

Click on "tutorial_dl.ipynb" in the files listed to run the notebook.

More information can be found at http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html