matteo/constellationnet
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Using autoencoders to optimize two-dimensional signal constellations for fiber optic communication systems
29 Commits 1 Branch 0 Tags 238 KiB
Python 56.5%
CSV 43.5%
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Mattéo Delabre 2c4786bdba
Remove reconstruction examples after training 		2019-12-16 09:17:15 -05:00
constellation Add batch normalization and ReLU activation 2019-12-16 02:35:13 -05:00
output Save trained models and plot encoding 2019-12-13 15:17:57 -05:00
.gitignore Add Gaussian channel model 2019-12-14 23:04:35 -05:00
README.md Initial commit 2019-12-11 19:13:40 -05:00
plot.py Change training strategy to adaptive learning rate 2019-12-16 02:30:33 -05:00
train.py Remove reconstruction examples after training 2019-12-16 09:17:15 -05:00

README.md

constellation