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208 lines (183 loc) · 11 KB
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Starting with new learning rate...
Start training at - 10:09:45
minimum error: 0.32916666666666666 in epoch: 0 and weights are: [[ 0. 0. 0. 0. -0. 0. ]
[ 0.88316015 -1.02697855 1.34694844 1.15307384 -1.49616631 -1. ]
[-0.88316015 1.02697855 -1.34694844 -1.15307384 1.49616631 1. ]]
with regularization: 1 and learning rate: 1
End training at - 10:10:11
Total time for training is 0:00:25.441988
Start training at - 10:10:11
minimum error: 0.24583333333333332 in epoch: 0 and weights are: [[ 0.33769417 0.09303966 0.24892356 0.19563082 -0.27629219 0.13460676]
[ 0.36998065 -0.91650974 0.83030088 0.72896265 -0.91959757 -0.93589709]
[-0.70767482 0.82347008 -1.07922444 -0.92459346 1.19588976 0.80129032]]
with regularization: 0.8 and learning rate: 1
End training at - 10:10:37
Total time for training is 0:00:26.290326
Start training at - 10:10:37
minimum error: 0.2 in epoch: 0 and weights are: [[ 0.47057416 0.111114 0.33632588 0.30352544 -0.5472236 0.13417493]
[ 0.00509558 -0.67425174 0.3832663 0.33083789 -0.17302493 -0.66964517]
[-0.47566974 0.56313774 -0.71959218 -0.63436333 0.72024853 0.53547024]]
with regularization: 0.5 and learning rate: 1
End training at - 10:11:03
Total time for training is 0:00:26.401633
Start training at - 10:11:03
minimum error: 0.18333333333333332 in epoch: 0 and weights are: [[ 0.39242795 0.10705891 0.2915486 0.34802322 -0.5194332 0.0943 ]
[-0.05823377 -0.53313473 0.21897835 0.13624074 0.12640723 -0.47019148]
[-0.33419418 0.42607582 -0.51052695 -0.48426396 0.39302597 0.37589148]]
with regularization: 0.3 and learning rate: 1
End training at - 10:11:32
Total time for training is 0:00:28.766389
Start training at - 10:11:32
minimum error: 0.17916666666666667 in epoch: 0 and weights are: [[ 0.14953746 0.15353659 0.1713741 0.19314123 -0.12127544 -0.09282194]
[-0.00183187 -0.33153295 0.02507172 -0.01965978 0.13621117 -0.03018396]
[-0.14770559 0.17799636 -0.19644582 -0.17348145 -0.01493573 0.1230059 ]]
with regularization: 0.1 and learning rate: 1
End training at - 10:11:59
Total time for training is 0:00:26.432045
Starting with new learning rate...
Start training at - 10:11:59
minimum error: 0.275 in epoch: 0 and weights are: [[ 0.42211771 0.11629958 0.31115445 0.24453852 -0.34536524 0.16825845]
[ 0.46247581 -1.14563717 1.03787609 0.91120331 -1.14949696 -1.16987136]
[-0.88459352 1.0293376 -1.34903055 -1.15574183 1.4948622 1.0016129 ]]
with regularization: 1 and learning rate: 0.8
End training at - 10:12:25
Total time for training is 0:00:26.662829
Start training at - 10:12:25
minimum error: 0.225 in epoch: 0 and weights are: [[ 0.55754144 0.13409646 0.40238543 0.33133509 -0.567188 0.18760872]
[ 0.16186296 -0.97593368 0.69336799 0.61424314 -0.61844515 -1.00170324]
[-0.7194044 0.84183722 -1.09575343 -0.94557823 1.18563315 0.81409452]]
with regularization: 0.8 and learning rate: 0.8
End training at - 10:12:55
Total time for training is 0:00:29.237099
Start training at - 10:12:55
minimum error: 0.175 in epoch: 0 and weights are: [[ 0.55897202 0.13716247 0.40110249 0.40611803 -0.70236719 0.14336217]
[-0.09356016 -0.665813 0.29469963 0.1945967 -0.0367537 -0.65873944]
[-0.46541187 0.52865053 -0.69580212 -0.60071474 0.73912089 0.51537728]]
with regularization: 0.5 and learning rate: 0.8
End training at - 10:13:22
Total time for training is 0:00:27.460713
Start training at - 10:13:22
minimum error: 0.16666666666666666 in epoch: 1 and weights are: [[ 0.46255034 0.11170243 0.36602098 0.46589879 -0.59397773 0.07799351]
[-0.06929946 -0.61027912 0.21473125 0.08469456 0.21204979 -0.49876535]
[-0.39325089 0.49857668 -0.58075223 -0.55059334 0.38192794 0.42077185]]
with regularization: 0.3 and learning rate: 0.8
End training at - 10:13:48
Total time for training is 0:00:26.306218
Start training at - 10:13:48
minimum error: 0.16666666666666666 in epoch: 1 and weights are: [[ 0.0068807 0.10485607 0.10571896 0.27203856 -0.13008327 -0.06168745]
[ 0.22369893 -0.36257181 0.19880747 -0.01848328 0.00862556 -0.11996768]
[-0.23057963 0.25771574 -0.30452643 -0.25355528 0.12145771 0.18165513]]
with regularization: 0.1 and learning rate: 0.8
End training at - 10:14:17
Total time for training is 0:00:28.715133
Starting with new learning rate...
Start training at - 10:14:17
minimum error: 0.21666666666666667 in epoch: 0 and weights are: [[ 0.94302031 0.22142247 0.67377396 0.60665075 -1.09519507 0.26734278]
[ 0.01022415 -1.34812699 0.76651629 0.6614149 -0.34637016 -1.33973282]
[-0.95324446 1.12670453 -1.44029025 -1.26806565 1.44156523 1.07239005]]
with regularization: 1 and learning rate: 0.5
End training at - 10:14:45
Total time for training is 0:00:28.364138
Start training at - 10:14:45
minimum error: 0.175 in epoch: 0 and weights are: [[ 0.90428894 0.21296756 0.65158133 0.654922 -1.12974082 0.22117947]
[-0.09546089 -1.19639634 0.57140967 0.44776561 0.01194594 -1.13111378]
[-0.80882805 0.98342878 -1.222991 -1.10268762 1.11779488 0.90993431]]
with regularization: 0.8 and learning rate: 0.5
End training at - 10:15:11
Total time for training is 0:00:25.696954
Start training at - 10:15:11
minimum error: 0.12083333333333333 in epoch: 0 and weights are: [[ 0.71099079 0.19320793 0.57276034 0.75139904 -0.97317985 0.13350351]
[-0.1457934 -0.78964814 0.22879274 -0.0396041 0.25502347 -0.73059336]
[-0.56519739 0.59644021 -0.80155307 -0.71179494 0.71815638 0.59708985]]
with regularization: 0.5 and learning rate: 0.5
End training at - 10:15:38
Total time for training is 0:00:27.305714
Start training at - 10:15:38
minimum error: 0.17916666666666667 in epoch: 0 and weights are: [[ 0.28692495 0.24389375 0.26989363 0.34721311 -0.26594769 -0.154009 ]
[ 0.09590112 -0.67542505 0.27506987 0.10013692 -0.23790787 -0.18131002]
[-0.38282607 0.43153131 -0.5449635 -0.44735003 0.50385556 0.33531903]]
with regularization: 0.3 and learning rate: 0.5
End training at - 10:16:07
Total time for training is 0:00:28.329089
Start training at - 10:16:07
minimum error: 0.15416666666666667 in epoch: 1 and weights are: [[ 0.17262945 0.18831067 0.24723912 0.29673593 -0.1968584 -0.04802257]
[ 0.03065688 -0.4955442 0.07515156 -0.04922389 0.0167207 -0.08925189]
[-0.20328634 0.30723353 -0.32239068 -0.24751204 0.18013771 0.13727445]]
with regularization: 0.1 and learning rate: 0.5
End training at - 10:16:33
Total time for training is 0:00:26.052471
Starting with new learning rate...
Start training at - 10:16:33
minimum error: 0.17916666666666667 in epoch: 0 and weights are: [[ 1.31439705 0.33690112 1.00046028 1.19714584 -1.7583687 0.2785918 ]
[-0.28432386 -1.45682473 0.49229856 0.10969205 0.30226388 -1.39013356]
[-1.03007319 1.11992361 -1.49275884 -1.30683789 1.45610482 1.11154176]]
with regularization: 1 and learning rate: 0.3
End training at - 10:17:00
Total time for training is 0:00:27.431121
Start training at - 10:17:00
minimum error: 0.12916666666666668 in epoch: 0 and weights are: [[ 0.45968023 0.42194904 0.32965769 0.44614992 -0.59463912 -0.26472011]
[-0.134369 -0.88228113 0.11052795 0.04654685 0.76486488 -0.07337306]
[-0.32531122 0.46033209 -0.44018564 -0.49269677 -0.17022577 0.33809318]]
with regularization: 0.8 and learning rate: 0.3
End training at - 10:17:30
Total time for training is 0:00:29.719637
Start training at - 10:17:30
minimum error: 0.1875 in epoch: 0 and weights are: [[-0.11396679 0.11946925 0.03942063 0.61954129 -0.50300433 -0.23351289]
[ 0.84578112 -0.83003464 0.90829697 0.20371986 -0.11915818 -0.4548554 ]
[-0.73181432 0.71056539 -0.94771759 -0.82326115 0.62216251 0.68836829]]
with regularization: 0.5 and learning rate: 0.3
End training at - 10:17:56
Total time for training is 0:00:25.718031
Start training at - 10:17:56
minimum error: 0.15416666666666667 in epoch: 1 and weights are: [[-0.02278972 0.24361592 0.17210652 0.61381014 -0.36705004 -0.24888861]
[ 0.33722496 -0.5160244 0.15876505 -0.33850509 0.41070769 0.07045565]
[-0.31443524 0.27240849 -0.33087157 -0.27530504 -0.04365766 0.17843296]]
with regularization: 0.3 and learning rate: 0.3
End training at - 10:18:22
Total time for training is 0:00:26.731603
Start training at - 10:18:22
minimum error: 0.14166666666666666 in epoch: 3 and weights are: [[ 0.25181071 0.23676906 0.39169991 0.40587895 -0.19380102 -0.05667778]
[-0.09003373 -0.50422452 -0.08798643 -0.22057859 0.04545155 0.03317841]
[-0.16177698 0.26745546 -0.30371348 -0.18530036 0.14834947 0.02349937]]
with regularization: 0.1 and learning rate: 0.3
End training at - 10:18:51
Total time for training is 0:00:28.712588
Starting with new learning rate...
Start training at - 10:18:51
minimum error: 0.2 in epoch: 0 and weights are: [[-0.20051432 0.46204643 0.3008558 1.87824465 -1.05506311 -0.59475043]
[ 1.04798116 -1.08300352 0.5595379 -1.14494781 1.16248504 0.10390263]
[-0.84746684 0.62095709 -0.8603937 -0.73329684 -0.10742193 0.4908478 ]]
with regularization: 1 and learning rate: 0.1
End training at - 10:19:17
Total time for training is 0:00:26.070142
Start training at - 10:19:17
minimum error: 0.1875 in epoch: 0 and weights are: [[ 1.20215717 0.42318266 0.9929171 1.24970918 -1.65316928 -0.23892901]
[-0.29416342 -1.63223334 0.41901078 -0.14836664 0.25449641 -0.56250819]
[-0.90799375 1.20905068 -1.41192788 -1.10134254 1.39867287 0.8014372 ]]
with regularization: 0.8 and learning rate: 0.1
End training at - 10:19:43
Total time for training is 0:00:25.712806
Start training at - 10:19:43
minimum error: 0.15833333333333333 in epoch: 1 and weights are: [[ 0.92256665 0.41412775 0.91175903 1.09843436 -0.94618203 -0.1782966 ]
[-0.05390987 -1.38103485 0.36875822 -0.11191355 0.24692895 -0.48237698]
[-0.86865678 0.96690709 -1.28051725 -0.9865208 0.69925308 0.66067359]]
with regularization: 0.5 and learning rate: 0.1
End training at - 10:20:12
Total time for training is 0:00:28.699849
Start training at - 10:20:12
minimum error: 0.10416666666666667 in epoch: 1 and weights are: [[ 0.13949991 0.41085909 0.49277577 0.84621708 -0.39292626 -0.3814472 ]
[ 0.18001912 -0.71313845 -0.05058487 -0.5358368 0.15784601 0.38879818]
[-0.31951903 0.30227936 -0.44219091 -0.31038028 0.23508025 -0.00735098]]
with regularization: 0.3 and learning rate: 0.1
End training at - 10:20:40
Total time for training is 0:00:28.362302
Start training at - 10:20:40
minimum error: 0.05 in epoch: 12 and weights are: [[ 0.18710489 0.00353916 0.67677144 0.69887273 0.05898188 -0.34122238]
[ 0.10580316 -0.45370831 0.02953652 -0.15403748 -0.00902337 0.31851379]
[-0.29290805 0.45016915 -0.70630796 -0.54483525 -0.04995851 0.02270859]]
with regularization: 0.1 and learning rate: 0.1
End training at - 10:21:06
Total time for training is 0:00:26.554033
Minimum Error in all training is 0.05 and the weights are [[ 0.18710489 0.00353916 0.67677144 0.69887273 0.05898188 -0.34122238]
[ 0.10580316 -0.45370831 0.02953652 -0.15403748 -0.00902337 0.31851379]
[-0.29290805 0.45016915 -0.70630796 -0.54483525 -0.04995851 0.02270859]]