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Author	SHA1	Message	Date
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	989a51b72e	Increase batch size halfway through training	2019-12-15 09:42:48 -05:00
Mattéo Delabre	3365603614	Add normalization layer	2019-12-15 09:42:33 -05:00
Mattéo Delabre	b97ba61f42	Improve plot legibility	2019-12-15 02:07:52 -05:00
Mattéo Delabre	8a31b22b83	Increase noise stddev	2019-12-15 01:21:11 -05:00
Mattéo Delabre	04c2938b9e	Decrease alpha for noise plot	2019-12-15 01:21:03 -05:00
Mattéo Delabre	9a87b322d4	Plot noise	2019-12-15 01:07:05 -05:00
Mattéo Delabre	6ea0e653c1	Balance training examples	2019-12-15 00:59:10 -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	197a01e993	Fix plot scaling	2019-12-15 00:03:02 -05:00
Mattéo Delabre	8f6363ee21	Plot decision regions from the decoder	2019-12-14 23:31:47 -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	a01d83f339	Improve plot	2019-12-13 17:10:40 -05:00
Mattéo Delabre	49e63775dd	Save trained models and plot encoding	2019-12-13 15:17:57 -05:00
Mattéo Delabre	2af8354a07	Add initial implementation	2019-12-13 12:11:09 -05:00
Mattéo Delabre	7463e9fe5b	Initial commit	2019-12-11 19:13:40 -05:00