https://github.com/jelhamm/article-deep-learning-for-the-gaussian-wiretap-channel
Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
https://github.com/jelhamm/article-deep-learning-for-the-gaussian-wiretap-channel
custom-layers data-communications deep-learning deep-learning-papers encoder-decoder-model jupyter-notebook loss matplotlib-pyplot numpy optimizer pandas paper python scipy simulations sklearn-preprocessing tensorflow tensorflow-keras-model training wiretap
Last synced: about 1 month ago
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Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
- Host: GitHub
- URL: https://github.com/jelhamm/article-deep-learning-for-the-gaussian-wiretap-channel
- Owner: jElhamm
- License: mit
- Created: 2024-02-29T20:38:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-12T19:51:58.000Z (about 1 year ago)
- Last Synced: 2024-04-13T21:01:23.508Z (about 1 year ago)
- Topics: custom-layers, data-communications, deep-learning, deep-learning-papers, encoder-decoder-model, jupyter-notebook, loss, matplotlib-pyplot, numpy, optimizer, pandas, paper, python, scipy, simulations, sklearn-preprocessing, tensorflow, tensorflow-keras-model, training, wiretap
- Language: Python
- Homepage:
- Size: 375 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- License: LICENSE