|  Mattéo Delabre | fb2518b321 | Show final loss after training | 2019-12-16 10:20:01 -05:00 | 
				
					
						|  Mattéo Delabre | 1d39184036 | Use euclidean distance for stop criterion | 2019-12-16 09:55:06 -05:00 | 
				
					
						|  Mattéo Delabre | 4f1514accf | Add noise to plot | 2019-12-16 09:22:24 -05:00 | 
				
					
						|  Mattéo Delabre | 2c4786bdba | Remove reconstruction examples after training | 2019-12-16 09:17:15 -05:00 | 
				
					
						|  Mattéo Delabre | 4bf0c0f363 | Add batch normalization and ReLU activation | 2019-12-16 02:35:13 -05:00 | 
				
					
						|  Mattéo Delabre | 8fa6b46ca8 | Change training strategy to adaptive learning rate | 2019-12-16 02:30:33 -05:00 | 
				
					
						|  Mattéo Delabre | 3f2c6d18a3 | Manually seed training for reproducibility | 2019-12-16 01:50:03 -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 | 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 |