matteo/constellationnet
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constellationnet
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25 Commits 1 Branch 0 Tags 238 KiB
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15 Commits

Author SHA1 Message Date
Mattéo Delabre 4d8d419d31
Only plot noise if noise_samples > 0 2019-12-16 01:49:35 -05:00
Mattéo Delabre 2b93a5f1bc
Fix wrong input dimension for decision region plot 2019-12-15 23:53:14 -05:00
Mattéo Delabre e4457400a6
Add larger set of colors for plot 2019-12-15 23:52:57 -05:00
Mattéo Delabre 722c02ef24
Cleanup channel model 2019-12-15 23:12:00 -05:00
Mattéo Delabre 3638749998
Share plotting code between plot.py and train.py 2019-12-15 20:05:20 -05:00
Mattéo Delabre 34cb3b863b
Simplify channel model to account for normalized power 2019-12-15 19:48:49 -05:00
Mattéo Delabre 59d7adf6bd
Add convergence criterion plot during train 2019-12-15 19:42:50 -05:00
Mattéo Delabre 3c199dfc41
Remove activation function from ConstellationNet 2019-12-15 19:22:35 -05:00
Mattéo Delabre 3365603614
Add normalization layer 2019-12-15 09:42:33 -05:00
Mattéo Delabre 8a31b22b83
Increase noise stddev 2019-12-15 01:21:11 -05:00
Mattéo Delabre 99c96162c0
Use SELU instead of ReLU 2019-12-15 00:57:31 -05:00
Mattéo Delabre 6d31ab3a13
Use ReLU with normalization 2019-12-15 00:03:20 -05:00
Mattéo Delabre 3b40e27070
Add Gaussian channel model 2019-12-14 23:04:35 -05:00
Mattéo Delabre d0af8fc3da
Use Tanh activation to preserve negative values 2019-12-14 23:03:02 -05:00
Mattéo Delabre 49e63775dd
Save trained models and plot encoding 2019-12-13 15:17:57 -05:00