18 Commits

Author	SHA1	Message	Date
Mattéo Delabre	d8a140d793	Simplify arguments for ConstellationNet	2019-12-18 10:26:35 -05:00
Mattéo Delabre	7efcbd3948	Add product_dict util function	2019-12-16 11:32:25 -05:00
Mattéo Delabre	4bf0c0f363	Add batch normalization and ReLU activation	2019-12-16 02:35:13 -05:00
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