48 Commits (master)
 

Author SHA1 Message Date
Mattéo Delabre 73d2572fbe
Fix typo in README 2 years ago
Mattéo Delabre 6921be6ca6
Augment illustration 2 years ago
Mattéo Delabre 54813c4c46
Fixed name clash in plot.py 2 years ago
Mattéo Delabre 376c7c0bc4
Add illustration 2 years ago
Mattéo Delabre cacf4408e5
Add README 2 years ago
Mattéo Delabre af8862d360
Reflect parameter changes in `experiment.py` 2 years ago
Mattéo Delabre d8a140d793
Simplify arguments for ConstellationNet 2 years ago
Mattéo Delabre a7e9dd2230
Save whole model to avoid definition duplicate 2 years ago
Mattéo Delabre 0769a61fcf
Use best parameters as found by experimentation 2 years ago
Mattéo Delabre 5cb087d971
Add experiment results 2 years ago
Mattéo Delabre fe23fda86d
Shuffle configurations in experiment 2 years ago
Mattéo Delabre 8d64f91661
Add partitioning to experiment 2 years ago
Mattéo Delabre 0dfbed1bb7
Add experiment code 2 years ago
Mattéo Delabre 7efcbd3948
Add product_dict util function 2 years ago
Mattéo Delabre e8e4dcec83
Set learning rate to 10^-3 2 years ago
Mattéo Delabre af59421dc0
Fix variable naming clash 2 years ago
Mattéo Delabre fb2518b321
Show final loss after training 2 years ago
Mattéo Delabre 1d39184036
Use euclidean distance for stop criterion 2 years ago
Mattéo Delabre 4f1514accf
Add noise to plot 2 years ago
Mattéo Delabre 2c4786bdba
Remove reconstruction examples after training 2 years ago
Mattéo Delabre 4bf0c0f363
Add batch normalization and ReLU activation 2 years ago
Mattéo Delabre 8fa6b46ca8
Change training strategy to adaptive learning rate 2 years ago
Mattéo Delabre 3f2c6d18a3
Manually seed training for reproducibility 2 years ago
Mattéo Delabre 4d8d419d31
Only plot noise if noise_samples > 0 2 years ago
Mattéo Delabre 2b93a5f1bc
Fix wrong input dimension for decision region plot 2 years ago
Mattéo Delabre e4457400a6
Add larger set of colors for plot 2 years ago
Mattéo Delabre 722c02ef24
Cleanup channel model 2 years ago
Mattéo Delabre 3638749998
Share plotting code between plot.py and train.py 2 years ago
Mattéo Delabre 34cb3b863b
Simplify channel model to account for normalized power 2 years ago
Mattéo Delabre 59d7adf6bd
Add convergence criterion plot during train 2 years ago
Mattéo Delabre 3c199dfc41
Remove activation function from ConstellationNet 2 years ago
Mattéo Delabre 989a51b72e
Increase batch size halfway through training 2 years ago
Mattéo Delabre 3365603614
Add normalization layer 2 years ago
Mattéo Delabre b97ba61f42
Improve plot legibility 2 years ago
Mattéo Delabre 8a31b22b83
Increase noise stddev 2 years ago
Mattéo Delabre 04c2938b9e
Decrease alpha for noise plot 2 years ago
Mattéo Delabre 9a87b322d4
Plot noise 2 years ago
Mattéo Delabre 6ea0e653c1
Balance training examples 2 years ago
Mattéo Delabre 99c96162c0
Use SELU instead of ReLU 2 years ago
Mattéo Delabre 6d31ab3a13
Use ReLU with normalization 2 years ago
Mattéo Delabre 197a01e993
Fix plot scaling 2 years ago
Mattéo Delabre 8f6363ee21
Plot decision regions from the decoder 2 years ago
Mattéo Delabre 3b40e27070
Add Gaussian channel model 2 years ago
Mattéo Delabre d0af8fc3da
Use Tanh activation to preserve negative values 2 years ago
Mattéo Delabre a01d83f339
Improve plot 2 years ago
Mattéo Delabre 49e63775dd
Save trained models and plot encoding 2 years ago
Mattéo Delabre 2af8354a07
Add initial implementation 2 years ago
Mattéo Delabre 7463e9fe5b
Initial commit 2 years ago