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