Returns list of parameters the neural network model currently has in use
Source:R/dnn.R
coef.citodnn.RdReturns list of parameters the neural network model currently has in use
Arguments
- object
a model created by
dnn- ...
nothing implemented yet
Examples
# \donttest{
if(torch::torch_is_installed()){
library(cito)
set.seed(222)
validation_set<- sample(c(1:nrow(datasets::iris)),25)
# Build and train Network
nn.fit<- dnn(Sepal.Length~., data = datasets::iris[-validation_set,])
# Sturcture of Neural Network
print(nn.fit)
#analyze weights of Neural Network
coef(nn.fit)
}
#> Loss at epoch 1: 3.597068, lr: 0.01000
#> Loss at epoch 2: 0.191219, lr: 0.01000
#> Loss at epoch 3: 0.267734, lr: 0.01000
#> Loss at epoch 4: 0.228880, lr: 0.01000
#> Loss at epoch 5: 0.513094, lr: 0.01000
#> Loss at epoch 6: 0.381360, lr: 0.01000
#> Loss at epoch 7: 0.211434, lr: 0.01000
#> Loss at epoch 8: 0.193429, lr: 0.01000
#> Loss at epoch 9: 0.128854, lr: 0.01000
#> Loss at epoch 10: 0.132752, lr: 0.01000
#> Loss at epoch 11: 0.230065, lr: 0.01000
#> Loss at epoch 12: 0.201331, lr: 0.01000
#> Loss at epoch 13: 0.145373, lr: 0.01000
#> Loss at epoch 14: 0.167923, lr: 0.01000
#> Loss at epoch 15: 0.236469, lr: 0.01000
#> Loss at epoch 16: 0.169179, lr: 0.01000
#> Loss at epoch 17: 0.177232, lr: 0.01000
#> Loss at epoch 18: 0.188820, lr: 0.01000
#> Loss at epoch 19: 0.257379, lr: 0.01000
#> Loss at epoch 20: 0.250017, lr: 0.01000
#> Loss at epoch 21: 0.139498, lr: 0.01000
#> Loss at epoch 22: 0.193177, lr: 0.01000
#> Loss at epoch 23: 0.117741, lr: 0.01000
#> Loss at epoch 24: 0.176398, lr: 0.01000
#> Loss at epoch 25: 0.162518, lr: 0.01000
#> Loss at epoch 26: 0.241071, lr: 0.01000
#> Loss at epoch 27: 0.119444, lr: 0.01000
#> Loss at epoch 28: 0.163977, lr: 0.01000
#> Loss at epoch 29: 0.158084, lr: 0.01000
#> Loss at epoch 30: 0.148274, lr: 0.01000
#> Loss at epoch 31: 0.393194, lr: 0.01000
#> Loss at epoch 32: 0.146477, lr: 0.01000
#> Loss at epoch 33: 0.273934, lr: 0.01000
#> Loss at epoch 34: 0.262098, lr: 0.01000
#> Loss at epoch 35: 0.184678, lr: 0.01000
#> Loss at epoch 36: 0.152796, lr: 0.01000
#> Loss at epoch 37: 0.115368, lr: 0.01000
#> Loss at epoch 38: 0.191370, lr: 0.01000
#> Loss at epoch 39: 0.259738, lr: 0.01000
#> Loss at epoch 40: 0.269034, lr: 0.01000
#> Loss at epoch 41: 0.204141, lr: 0.01000
#> Loss at epoch 42: 0.154706, lr: 0.01000
#> Loss at epoch 43: 0.188645, lr: 0.01000
#> Loss at epoch 44: 0.149467, lr: 0.01000
#> Loss at epoch 45: 0.106310, lr: 0.01000
#> Loss at epoch 46: 0.179780, lr: 0.01000
#> Loss at epoch 47: 0.184460, lr: 0.01000
#> Loss at epoch 48: 0.124847, lr: 0.01000
#> Loss at epoch 49: 0.138395, lr: 0.01000
#> Loss at epoch 50: 0.190879, lr: 0.01000
#> Loss at epoch 51: 0.129980, lr: 0.01000
#> Loss at epoch 52: 0.256766, lr: 0.01000
#> Loss at epoch 53: 0.197899, lr: 0.01000
#> Loss at epoch 54: 0.253441, lr: 0.01000
#> Loss at epoch 55: 0.214198, lr: 0.01000
#> Loss at epoch 56: 0.149511, lr: 0.01000
#> Loss at epoch 57: 0.126221, lr: 0.01000
#> Loss at epoch 58: 0.129672, lr: 0.01000
#> Loss at epoch 59: 0.183769, lr: 0.01000
#> Loss at epoch 60: 0.192801, lr: 0.01000
#> Loss at epoch 61: 0.140664, lr: 0.01000
#> Loss at epoch 62: 0.163468, lr: 0.01000
#> Loss at epoch 63: 0.175558, lr: 0.01000
#> Loss at epoch 64: 0.131379, lr: 0.01000
#> Loss at epoch 65: 0.121266, lr: 0.01000
#> Loss at epoch 66: 0.131803, lr: 0.01000
#> Loss at epoch 67: 0.154239, lr: 0.01000
#> Loss at epoch 68: 0.131856, lr: 0.01000
#> Loss at epoch 69: 0.149735, lr: 0.01000
#> Loss at epoch 70: 0.175270, lr: 0.01000
#> Loss at epoch 71: 0.147907, lr: 0.01000
#> Loss at epoch 72: 0.154563, lr: 0.01000
#> Loss at epoch 73: 0.180528, lr: 0.01000
#> Loss at epoch 74: 0.125016, lr: 0.01000
#> Loss at epoch 75: 0.150989, lr: 0.01000
#> Loss at epoch 76: 0.106091, lr: 0.01000
#> Loss at epoch 77: 0.323851, lr: 0.01000
#> Loss at epoch 78: 0.142484, lr: 0.01000
#> Loss at epoch 79: 0.161371, lr: 0.01000
#> Loss at epoch 80: 0.193858, lr: 0.01000
#> Loss at epoch 81: 0.112541, lr: 0.01000
#> Loss at epoch 82: 0.127181, lr: 0.01000
#> Loss at epoch 83: 0.146830, lr: 0.01000
#> Loss at epoch 84: 0.179313, lr: 0.01000
#> Loss at epoch 85: 0.130562, lr: 0.01000
#> Loss at epoch 86: 0.146930, lr: 0.01000
#> Loss at epoch 87: 0.107659, lr: 0.01000
#> Loss at epoch 88: 0.127457, lr: 0.01000
#> Loss at epoch 89: 0.134248, lr: 0.01000
#> Loss at epoch 90: 0.122804, lr: 0.01000
#> Loss at epoch 91: 0.145107, lr: 0.01000
#> Loss at epoch 92: 0.187051, lr: 0.01000
#> Loss at epoch 93: 0.152511, lr: 0.01000
#> Loss at epoch 94: 0.118524, lr: 0.01000
#> Loss at epoch 95: 0.131363, lr: 0.01000
#> Loss at epoch 96: 0.108863, lr: 0.01000
#> Loss at epoch 97: 0.199027, lr: 0.01000
#> Loss at epoch 98: 0.161180, lr: 0.01000
#> Loss at epoch 99: 0.228797, lr: 0.01000
#> Loss at epoch 100: 0.186245, lr: 0.01000
#> dnn(formula = Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width +
#> Species - 1, data = datasets::iris[-validation_set, ])
#> An `nn_module` containing 2,951 parameters.
#>
#> ── Modules ─────────────────────────────────────────────────────────────────────
#> • 0: <nn_linear> #350 parameters
#> • 1: <nn_selu> #0 parameters
#> • 2: <nn_linear> #2,550 parameters
#> • 3: <nn_selu> #0 parameters
#> • 4: <nn_linear> #51 parameters
#> [[1]]
#> [[1]]$`0.weight`
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0.145561546 0.296483517 -0.240300566 0.12425043 -0.03979588
#> [2,] 0.233328387 -0.287603706 0.204976216 -0.21389000 -0.09996576
#> [3,] -0.327443391 -0.271570951 0.249882922 -0.11002865 0.27459374
#> [4,] 0.285022706 -0.020371281 0.364442587 -0.04259682 0.37681597
#> [5,] 0.171937898 0.079376534 0.001310776 -0.28403431 -0.37753958
#> [6,] 0.201939598 -0.195557252 -0.349422604 0.37743011 0.19653605
#> [7,] -0.200611457 0.121753953 0.172319323 0.33984050 0.16146678
#> [8,] -0.063368060 -0.061192550 0.055333082 0.35230896 0.10443064
#> [9,] -0.146725565 -0.026433703 -0.104389586 -0.08634342 -0.11843548
#> [10,] 0.086044386 0.119766310 -0.046614140 -0.27772388 -0.02245543
#> [11,] 0.188635916 -0.129541382 -0.112005278 0.14475971 -0.35015419
#> [12,] 0.335837960 0.274883419 0.330376923 0.01570756 -0.08446986
#> [13,] -0.139811754 -0.351500958 -0.212066203 0.13958159 0.17157809
#> [14,] 0.256985247 -0.038192160 -0.358099550 -0.23913337 -0.15269348
#> [15,] 0.276922792 -0.255975723 -0.420992732 0.03705945 -0.24620596
#> [16,] -0.297157586 -0.130123273 0.112972990 0.08342927 -0.24924453
#> [17,] 0.093436681 -0.257121533 0.132793531 0.36726540 -0.22473139
#> [18,] -0.373091161 0.344080985 -0.112236068 -0.37395099 -0.09466922
#> [19,] -0.001365006 -0.239620879 -0.140693113 -0.35314870 0.18771192
#> [20,] -0.366077781 0.283360809 -0.265688628 0.21912992 0.03810206
#> [21,] -0.196012959 0.080192432 0.209095836 -0.15483084 0.11190326
#> [22,] 0.168329254 -0.154211357 -0.036265682 -0.11783817 0.31966594
#> [23,] -0.045765452 -0.363246471 -0.191808149 -0.36087832 0.19895476
#> [24,] -0.324090391 -0.309547693 -0.004620989 -0.04291801 0.37371141
#> [25,] 0.320251018 -0.215527713 0.321431935 -0.16639061 -0.25108591
#> [26,] -0.243184105 0.226665959 0.061119299 -0.05776008 -0.27959293
#> [27,] -0.112362877 0.357981205 0.221556842 0.33874783 0.19387849
#> [28,] 0.324888408 0.169074744 0.184014231 -0.24152997 -0.38647828
#> [29,] 0.140034735 0.047101133 -0.326682031 -0.22400205 0.27687043
#> [30,] -0.357968241 0.005574332 -0.290273577 -0.26634818 -0.29404151
#> [31,] 0.333026856 0.331199825 -0.404428095 0.23089415 0.05606955
#> [32,] -0.022773640 -0.328654647 0.409793764 -0.37330055 -0.16781193
#> [33,] -0.033594701 -0.221218392 0.341182321 0.31372440 -0.07309324
#> [34,] -0.094104253 -0.341114163 -0.210320517 0.16985333 -0.08229324
#> [35,] -0.234458566 0.221956119 -0.070716120 -0.12971625 -0.02745893
#> [36,] -0.175194114 -0.078367971 -0.099517696 0.04870753 -0.02333927
#> [37,] -0.208457127 0.005921839 0.209278330 0.19279987 0.21126719
#> [38,] 0.043581117 0.152743310 -0.211736023 0.04682239 -0.23595421
#> [39,] -0.164889172 -0.220026463 -0.205120206 -0.33864284 0.36858979
#> [40,] -0.350431412 0.296899736 0.304991692 0.34420544 -0.36537924
#> [41,] -0.160300672 0.216472745 -0.060605515 0.32240057 -0.05134986
#> [42,] -0.279975146 -0.223877206 -0.362917244 0.40123487 -0.04852214
#> [43,] 0.157863677 -0.083846435 0.082092032 -0.37032121 -0.40063870
#> [44,] 0.132349610 0.351912975 -0.236358598 -0.29252586 -0.27269688
#> [45,] -0.102467701 0.391395777 -0.414645284 0.14853181 0.28561649
#> [46,] -0.336623311 -0.062446110 0.232784525 -0.12863836 -0.05678840
#> [47,] 0.029302478 -0.363995761 0.372412801 0.24472702 0.17699997
#> [48,] -0.176022440 0.037503231 -0.389072686 0.30792570 0.40537056
#> [49,] -0.163009524 0.180787817 -0.010236357 0.18189909 -0.09106824
#> [50,] 0.245277554 -0.415241092 0.015489002 -0.05062800 -0.02361881
#> [,6]
#> [1,] -0.317668825
#> [2,] 0.126612157
#> [3,] -0.108943939
#> [4,] -0.078509316
#> [5,] 0.269467115
#> [6,] -0.276931256
#> [7,] 0.205171317
#> [8,] 0.141930014
#> [9,] -0.178767964
#> [10,] 0.225656331
#> [11,] -0.035387468
#> [12,] 0.039106917
#> [13,] 0.095953897
#> [14,] -0.107643470
#> [15,] 0.347651303
#> [16,] -0.295062333
#> [17,] 0.391452909
#> [18,] -0.129964292
#> [19,] 0.267380476
#> [20,] 0.220869437
#> [21,] -0.365202755
#> [22,] -0.248059377
#> [23,] -0.274250716
#> [24,] 0.389021784
#> [25,] 0.290289760
#> [26,] -0.012815460
#> [27,] 0.319009542
#> [28,] -0.008012405
#> [29,] -0.408808112
#> [30,] 0.371526599
#> [31,] -0.251036674
#> [32,] -0.280181855
#> [33,] -0.247720599
#> [34,] 0.096818767
#> [35,] -0.089647464
#> [36,] 0.157199144
#> [37,] 0.082401477
#> [38,] -0.400724143
#> [39,] -0.397837460
#> [40,] -0.054223556
#> [41,] -0.179606423
#> [42,] 0.284953356
#> [43,] 0.410755873
#> [44,] -0.075727805
#> [45,] -0.297004640
#> [46,] 0.371873498
#> [47,] -0.175032318
#> [48,] 0.247173578
#> [49,] -0.359635055
#> [50,] 0.332411438
#>
#> [[1]]$`0.bias`
#> [1] 0.39093485 0.08035053 -0.25549337 0.18595091 0.10930175 -0.07881801
#> [7] -0.30813530 0.36440852 0.18375796 0.08959636 -0.24577834 0.02059901
#> [13] -0.31034705 0.33719435 0.22463554 0.28342679 0.32825330 -0.01443919
#> [19] 0.02469660 -0.21469781 0.21152686 -0.24329236 -0.20369007 0.39227787
#> [25] 0.16722476 0.21154630 -0.20713782 -0.27077481 0.26392737 0.13113730
#> [31] 0.29397503 0.18819384 -0.08404621 0.29301867 0.11003073 0.41606063
#> [37] -0.20515250 -0.30348325 -0.14770158 0.13445991 0.01159674 0.13583042
#> [43] -0.35687295 0.09811079 -0.17249055 0.19676349 -0.11642561 0.18009232
#> [49] -0.33556452 0.02934953
#>
#> [[1]]$`2.weight`
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0.0908497199 0.058444139 -0.1369533837 -0.010902070 0.082211316
#> [2,] -0.0864958316 -0.039845694 0.0698283985 0.114571057 -0.059330668
#> [3,] 0.0757002234 -0.129815519 0.1441443115 -0.021675108 -0.036416292
#> [4,] -0.0087830713 -0.125567362 -0.1267557144 -0.108906262 0.127761483
#> [5,] 0.1277267933 0.046812795 0.0378917791 -0.129453421 -0.093869008
#> [6,] 0.0561737567 -0.127815366 0.0662473813 0.016187521 0.061776284
#> [7,] -0.1137269810 -0.022298606 0.0173140019 -0.139303774 0.039170500
#> [8,] -0.1509852260 -0.088835232 0.1054149047 -0.016524956 0.125699624
#> [9,] -0.0339336433 -0.003955584 0.1592770517 -0.107245415 -0.012991143
#> [10,] -0.0531667657 0.072880089 -0.0412254147 -0.035735674 0.098471075
#> [11,] -0.0712239966 0.132584557 -0.0202834811 -0.017667841 -0.087708257
#> [12,] 0.0470230579 -0.090754673 -0.0031748735 0.058836196 -0.147190914
#> [13,] -0.0926844552 -0.145107642 0.0925806761 -0.103886515 0.085279278
#> [14,] 0.0006183788 -0.067715123 0.0281846933 -0.040888067 -0.120889917
#> [15,] 0.0938526765 -0.117892243 -0.0415534563 0.020836934 0.093098871
#> [16,] 0.1268257052 -0.117976718 0.0422110334 -0.064440161 0.021795487
#> [17,] -0.1260468662 -0.054033950 -0.0224139895 -0.103412963 -0.084956303
#> [18,] 0.1357820779 -0.022604596 -0.0781938583 0.141732886 0.141773194
#> [19,] -0.1411197931 0.040274851 0.0924448892 -0.095738441 0.039705817
#> [20,] -0.0682723299 -0.134984046 -0.1126124710 0.036314219 -0.021865213
#> [21,] 0.0121979397 0.088557847 0.0822305903 -0.042957865 -0.040191211
#> [22,] -0.1113853455 -0.056701940 -0.1123714671 0.030289451 0.048518673
#> [23,] -0.0373826772 0.069355577 0.1324927956 0.085399248 -0.057391293
#> [24,] 0.1029835790 0.056689117 0.1214869991 -0.047560945 -0.132006004
#> [25,] -0.0003980310 -0.103762902 0.0191174783 -0.097672932 0.089319214
#> [26,] 0.1172924787 0.007037734 -0.0851119459 0.089192413 0.020955812
#> [27,] -0.0956944525 -0.075537495 -0.0576307103 0.124573261 0.034619007
#> [28,] -0.0411959887 -0.117024198 0.0254185628 -0.119429417 0.030635191
#> [29,] 0.0477441773 0.056700628 0.1121542528 0.006977363 0.061502628
#> [30,] 0.1136354581 0.002892531 -0.1472672075 0.090972565 -0.079574116
#> [31,] 0.0177554954 0.079242609 -0.0891967267 -0.012646256 0.115780048
#> [32,] -0.0595688820 -0.039080944 0.1202530712 0.005487730 -0.093974106
#> [33,] -0.0626678392 -0.101988271 -0.0937469080 -0.092259780 0.131056055
#> [34,] -0.0561543070 -0.095624991 0.0559326299 -0.116524756 -0.025913386
#> [35,] -0.0400635935 0.012169339 0.0018665984 0.077859379 -0.073359378
#> [36,] -0.0116390986 -0.055516858 0.1241924688 -0.061400261 0.048580416
#> [37,] 0.0282845050 0.117143616 -0.0007627539 -0.064401478 0.081413575
#> [38,] 0.1281787753 -0.026852058 -0.0128473630 -0.074101113 -0.116364956
#> [39,] 0.0667273328 -0.115153693 0.0816672742 0.088632323 -0.033304565
#> [40,] -0.0787070468 0.075542487 0.1235978678 0.033586971 -0.111086823
#> [41,] 0.0479183309 0.121210970 -0.0546164066 0.001953350 0.060786176
#> [42,] 0.0901304483 -0.004328405 -0.0381739177 -0.104511745 -0.089153796
#> [43,] -0.0650918409 -0.124310426 -0.0978418812 0.074035630 0.066611126
#> [44,] -0.0583526045 0.047603883 0.0317101851 -0.109888911 -0.001370769
#> [45,] 0.1576864123 -0.031587530 -0.0771698281 0.111552969 -0.044315394
#> [46,] -0.0340838768 0.143491372 -0.0664356425 -0.124696195 0.117862754
#> [47,] 0.0678483769 0.079700828 0.0650978908 0.005709946 0.047814038
#> [48,] -0.0305134021 -0.111989237 0.0583641492 -0.140941352 0.022498636
#> [49,] 0.0560643300 -0.070036009 0.0400326364 0.137086004 0.107048273
#> [50,] -0.1101726964 -0.115743928 -0.0806133449 0.129621848 -0.002398197
#> [,6] [,7] [,8] [,9] [,10]
#> [1,] 0.161632076 0.103349090 -0.0451311022 -0.113950796 0.143197805
#> [2,] 0.055291146 0.052845027 -0.0355159901 -0.007215027 -0.053459398
#> [3,] 0.093017779 0.077032208 -0.1377946436 0.027729074 -0.084862731
#> [4,] 0.034030080 0.041798215 0.0915881917 -0.025195271 0.090552285
#> [5,] -0.125300676 0.066634163 0.0815014020 -0.052289866 -0.109077767
#> [6,] 0.012699823 -0.076735891 -0.0696902275 -0.027772598 0.055326447
#> [7,] -0.047285609 0.067395970 0.1001224965 0.040242769 -0.022455871
#> [8,] -0.095102400 0.110503435 0.1314933300 -0.072588541 -0.093666472
#> [9,] 0.026231939 0.128902256 -0.0449848287 -0.020779654 -0.141274318
#> [10,] -0.106731586 -0.100266747 -0.0037699514 0.003625029 0.073477022
#> [11,] 0.028529171 -0.026437504 0.0597006492 0.098079987 -0.040568758
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#> [23,] 0.128161177 0.034683540 0.0900408924 -0.138608500 -0.105823338
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#> [50,] -0.022880614 0.131505817 0.0777728483 0.074406154 -0.126636744
#> [,11] [,12] [,13] [,14] [,15]
#> [1,] 0.032238275 0.1587710083 -0.103907734 0.087750785 -0.019937279
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#> [8,] 0.089380227 -0.0212035906 -0.039620895 0.046052799 0.012386087
#> [9,] 0.077354960 0.0782615617 0.016876215 -0.072930507 -0.097304709
#> [10,] -0.059065703 -0.0320818014 -0.044286240 0.125122398 -0.109721035
#> [11,] -0.013091528 0.0610676743 0.144152328 -0.044148598 -0.119075023
#> [12,] 0.118741453 0.0955146477 0.077284090 0.050937481 -0.120641507
#> [13,] -0.061869085 0.1304415464 -0.133698046 0.034664981 -0.039153002
#> [14,] 0.116331294 0.0514758974 -0.031555217 -0.103886679 0.135598242
#> [15,] 0.108959883 -0.0254874248 0.061406672 -0.077792838 0.106108755
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#> [17,] 0.098773852 -0.1262646914 0.018784275 -0.089124471 -0.136873499
#> [18,] 0.084635183 0.0179410968 0.012495341 0.079505540 0.026023481
#> [19,] -0.002059859 -0.0096277297 0.105454482 0.125296324 0.076496497
#> [20,] 0.081755951 -0.0002060555 -0.020766746 0.071975067 -0.071013957
#> [21,] -0.125225931 -0.1298469603 -0.143953621 -0.093874365 0.046521809
#> [22,] -0.046967536 0.0854900256 -0.113848299 0.025448186 -0.000794827
#> [23,] 0.061298173 -0.0606467985 -0.003022414 0.086061336 -0.066990137
#> [24,] -0.107955933 0.1057472154 -0.009679933 0.068736568 -0.071513534
#> [25,] 0.078514338 -0.0220306218 -0.118326783 -0.086750939 -0.067456745
#> [26,] -0.091413684 0.0929373279 -0.034008667 0.094641641 0.130556956
#> [27,] -0.120308928 -0.0070682974 -0.014940336 -0.024749476 -0.026858713
#> [28,] 0.061056029 -0.0610319562 -0.075381249 -0.050014980 -0.001993591
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#> [30,] 0.042339969 0.1062610298 0.043714955 -0.114092670 -0.087843239
#> [31,] 0.160919309 0.0881685093 -0.004043765 -0.130929351 -0.074566580
#> [32,] -0.152800083 -0.1482668817 -0.006654260 -0.023118963 -0.088731527
#> [33,] 0.063836053 -0.0450201519 0.076039165 0.012238375 -0.058196213
#> [34,] -0.026415182 0.1674783230 -0.096482471 -0.060943529 0.109540485
#> [35,] -0.044624317 0.1054095551 0.119166218 0.096655697 0.121950299
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#> [37,] 0.053163942 0.1042654887 -0.025620118 -0.005788052 0.053639811
#> [38,] 0.011437146 0.0656649098 -0.094385765 0.142348930 0.046684831
#> [39,] -0.062784255 0.0808012113 -0.015816038 0.085116498 -0.068601646
#> [40,] 0.013274076 -0.1289683133 0.091873318 0.071807854 -0.155243695
#> [41,] -0.110334292 -0.1073984578 0.037399899 0.122726172 -0.059860948
#> [42,] 0.124143213 -0.1603232473 -0.006939889 0.127853915 -0.125092700
#> [43,] 0.129335999 0.0862606093 0.126380071 0.125918329 0.026728706
#> [44,] 0.109202057 -0.0553536266 -0.144493610 0.145326465 -0.125635356
#> [45,] 0.033188842 0.0239979681 -0.034039006 0.090729021 0.023579810
#> [46,] 0.112270191 -0.0293930080 0.085010916 0.029491156 0.091018766
#> [47,] -0.044682480 -0.0447864123 -0.034916528 0.130852550 0.124129571
#> [48,] -0.002789503 -0.0079808887 0.030678252 0.031374376 0.025057521
#> [49,] -0.003223325 -0.0829579830 0.124119692 -0.105627052 -0.066003762
#> [50,] -0.060461637 0.0912805498 0.023768164 -0.053674933 0.136832446
#> [,16] [,17] [,18] [,19] [,20]
#> [1,] 0.102646455 -0.071463235 0.071298853 -0.014525319 0.144128203
#> [2,] 0.114358462 0.019022189 0.126296073 0.141050801 -0.025539950
#> [3,] -0.107579887 0.067259930 -0.125375181 -0.002307378 0.045643538
#> [4,] -0.128279209 0.074871205 0.103690304 0.030479191 -0.103361830
#> [5,] 0.140064359 -0.092751436 -0.128544226 0.076411203 -0.080863319
#> [6,] 0.007149128 -0.133290410 0.033436891 -0.049524706 -0.062891953
#> [7,] 0.119376615 0.010327796 -0.061988052 0.125392795 0.054322399
#> [8,] -0.114824854 0.026810804 -0.101548947 0.066933073 -0.108049378
#> [9,] 0.043762282 0.015239472 -0.046356406 0.042535797 0.116653398
#> [10,] -0.060626611 0.045573406 0.075010978 -0.085739978 0.080723479
#> [11,] 0.023810679 -0.118516907 -0.032659501 0.038635887 0.110254161
#> [12,] -0.007204014 0.096918441 0.064880952 0.149565861 -0.067282699
#> [13,] 0.096707828 0.108217634 0.057887822 0.099173397 0.005425737
#> [14,] 0.082935743 0.128355578 0.116677754 -0.129715472 0.092476420
#> [15,] -0.042959701 -0.134180784 0.039247844 -0.147113129 0.058824923
#> [16,] 0.060377546 0.120433427 -0.035347007 -0.069745772 -0.020094959
#> [17,] 0.089184798 0.020434095 -0.103284046 0.102734201 0.029951740
#> [18,] 0.104676515 -0.082257740 0.040714465 -0.025378959 -0.057216413
#> [19,] -0.110454299 -0.065457523 -0.049981222 0.033500731 -0.121458910
#> [20,] -0.127345100 -0.028935790 -0.117689773 0.127514496 0.122790255
#> [21,] -0.010556691 0.037073631 -0.071593046 -0.091405541 0.088833787
#> [22,] -0.123693906 0.098451346 -0.147876665 -0.071930438 -0.141322866
#> [23,] 0.043075837 -0.078671098 0.114235424 -0.081131622 0.073947698
#> [24,] -0.118597902 0.033906180 -0.123108409 0.072721772 0.042570170
#> [25,] 0.014110609 0.061563112 -0.020080715 0.015428820 0.075999446
#> [26,] 0.123115249 0.067863457 0.033349644 -0.061904453 0.043227162
#> [27,] -0.046374734 0.053675510 0.062028252 0.080897212 -0.070077762
#> [28,] -0.033607446 -0.068708010 -0.121876247 -0.010126715 0.101909466
#> [29,] -0.042259503 0.109216005 -0.004748850 0.083081931 0.139626697
#> [30,] -0.135872930 -0.017601930 -0.042289123 0.075855352 0.078945890
#> [31,] 0.002237225 -0.013049932 -0.025358619 -0.117421456 -0.041373771
#> [32,] -0.033222858 0.130707949 0.091840118 0.076202631 0.112800591
#> [33,] -0.030969635 -0.010191166 -0.083593920 -0.055083755 0.001582525
#> [34,] 0.016097935 -0.008475193 0.117138684 0.086659469 0.031429406
#> [35,] -0.038461819 0.057843309 0.019389031 -0.053773876 -0.034798265
#> [36,] 0.037427761 -0.095685303 0.106101960 0.048397079 -0.099292226
#> [37,] -0.145296752 0.059706461 -0.008749772 0.057210632 -0.003292963
#> [38,] -0.065721929 0.022885334 0.114276730 0.089685947 0.073344447
#> [39,] -0.128278404 -0.123461917 0.131116763 0.027661873 0.130804777
#> [40,] -0.073371068 -0.029076509 -0.096576795 -0.125110164 0.053175390
#> [41,] 0.040540300 0.128051132 -0.076981954 -0.146601200 0.032297201
#> [42,] 0.036855891 0.088796802 0.135756195 -0.015866907 0.087105833
#> [43,] -0.090895586 -0.101650029 -0.036232077 0.080230363 0.062180452
#> [44,] 0.109231502 0.115153871 -0.096160971 -0.036784429 -0.005559315
#> [45,] -0.152915001 -0.129614204 0.094176345 0.091879971 -0.120569445
#> [46,] 0.017433973 0.058588479 -0.110414222 -0.064446390 -0.093208775
#> [47,] -0.100439392 -0.005391745 0.105420180 -0.040670592 -0.013882427
#> [48,] -0.075706288 0.080220431 0.112244338 0.056088373 0.003980012
#> [49,] -0.011788181 0.053810749 0.087623492 0.141833872 0.046884503
#> [50,] -0.070198514 -0.015485691 -0.042587310 -0.003407248 0.045594085
#> [,21] [,22] [,23] [,24] [,25]
#> [1,] -0.064735368 0.046325665 -0.129005075 -0.142551690 -0.060976304
#> [2,] 0.128454462 -0.004600170 0.126067072 0.128770605 0.077501833
#> [3,] 0.012207907 0.084412776 -0.095767550 -0.104724616 -0.139800847
#> [4,] 0.085963950 0.144337982 0.116854504 -0.069775753 -0.088798448
#> [5,] 0.034750517 0.001187929 0.025260001 0.077025406 -0.056951214
#> [6,] -0.007553495 0.012963154 0.061680671 0.016016480 0.128258228
#> [7,] -0.131733909 0.011429921 0.130847052 -0.128014982 -0.049544316
#> [8,] -0.051533774 0.082714617 0.092753753 0.060752574 -0.021050114
#> [9,] 0.107264377 0.120671019 -0.112612583 -0.112084851 -0.081778459
#> [10,] 0.024719663 -0.029312855 -0.053703476 0.116927981 -0.100297287
#> [11,] 0.110289857 -0.024976311 0.085966691 -0.080252208 0.025480082
#> [12,] -0.072012015 -0.063762918 0.131086469 0.140566304 -0.064715795
#> [13,] -0.028943792 0.126265466 0.121306412 -0.056373771 0.125563815
#> [14,] -0.119449966 0.101830877 -0.029958762 0.136785924 0.058209136
#> [15,] 0.107557394 0.130669743 -0.046031058 -0.021028984 -0.016032102
#> [16,] -0.002293392 0.037448246 -0.122315809 0.099969216 0.134814650
#> [17,] -0.127140313 -0.141529545 -0.122883379 -0.022782100 0.075881824
#> [18,] 0.009310398 -0.049058270 0.052116670 -0.153898388 -0.113674670
#> [19,] -0.001266799 0.144810647 0.134360984 0.020774109 -0.036490947
#> [20,] 0.074439183 0.025968708 0.058649130 0.006107316 -0.035324033
#> [21,] 0.100516371 0.037935533 0.008368033 -0.096828908 -0.124165758
#> [22,] -0.012520565 -0.067907475 -0.016323907 -0.073099479 -0.076391935
#> [23,] 0.115679637 -0.073294058 0.061181020 0.023748178 -0.010992099
#> [24,] 0.089730024 -0.080384612 0.024284385 0.111325890 -0.031943206
#> [25,] -0.058818847 0.030642165 0.054749940 0.043198545 -0.012150090
#> [26,] -0.133368894 0.037053857 0.067086332 0.092161573 -0.022830624
#> [27,] 0.093225569 0.129390508 -0.084226519 -0.013413453 -0.009244656
#> [28,] 0.105602980 0.092069604 -0.027216649 -0.121821769 -0.068077587
#> [29,] 0.015847431 0.119268060 0.011769461 -0.040652458 -0.089145839
#> [30,] -0.111689247 -0.136839807 -0.003543857 0.085736394 -0.023967471
#> [31,] -0.133070514 -0.097058594 -0.054907050 -0.038926031 -0.064413093
#> [32,] -0.032812234 -0.009623305 0.083082847 0.055510722 0.055880982
#> [33,] 0.043558203 0.024242932 0.064536475 -0.065894283 0.057374157
#> [34,] -0.133167669 -0.082875028 0.068707637 -0.111744873 0.111507103
#> [35,] -0.080112912 -0.045424361 0.088525832 -0.117977649 -0.103509411
#> [36,] 0.029133722 -0.013680858 -0.069013551 0.117361397 0.012832189
#> [37,] -0.127299845 -0.118862599 -0.032847758 0.069851644 -0.011295745
#> [38,] -0.049685463 -0.126394629 -0.089629240 -0.137099624 -0.070040628
#> [39,] 0.120808519 0.033794280 0.084837690 -0.086553939 0.113156386
#> [40,] 0.026106384 -0.088635214 -0.041504182 -0.089488484 0.101769634
#> [41,] -0.128339335 0.106394574 0.081375390 0.027643278 -0.108669467
#> [42,] -0.122492991 0.010753156 0.018888189 0.003929326 -0.101226129
#> [43,] -0.055046581 -0.077651076 -0.060929332 -0.119043268 0.132680103
#> [44,] 0.126795515 0.132079005 -0.127377614 0.093779229 0.007836547
#> [45,] -0.043908257 -0.066479325 -0.005418530 -0.109746359 0.031556338
#> [46,] 0.017130222 -0.101650126 -0.055886414 -0.062809803 -0.101502433
#> [47,] -0.062652573 -0.124560349 0.115973800 0.098145097 -0.143416807
#> [48,] -0.047916234 0.068044275 -0.027942728 -0.056673750 0.128368616
#> [49,] 0.031900331 -0.070550025 0.116264798 -0.058966260 -0.127058342
#> [50,] -0.130559519 0.080094419 -0.070416138 0.103237979 0.050682411
#> [,26] [,27] [,28] [,29] [,30]
#> [1,] -0.016370261 1.166119e-01 0.0027612483 0.064387858 0.010177419
#> [2,] 0.009662921 1.182733e-01 -0.0960823521 0.044743825 -0.022964826
#> [3,] 0.125800595 8.617436e-02 0.0432103537 0.077202730 -0.122539587
#> [4,] 0.080644988 -5.598986e-02 0.0047876183 -0.041393016 -0.090602539
#> [5,] 0.054361299 1.201158e-01 0.1212151274 0.116065741 -0.077572860
#> [6,] 0.134875774 -7.076240e-05 0.0898088142 0.099278674 0.116916209
#> [7,] 0.067396283 9.199488e-05 0.1210345477 0.071321487 -0.138927102
#> [8,] -0.009644597 -1.252695e-01 -0.0843902826 0.005541903 -0.006565268
#> [9,] -0.008595274 6.367195e-02 -0.0842184871 -0.086122550 0.065399796
#> [10,] -0.028939914 7.731278e-02 -0.0334305950 0.102243230 -0.041056894
#> [11,] -0.084588096 2.297731e-02 -0.0897619650 -0.127125770 0.123864911
#> [12,] 0.097752944 3.986982e-02 -0.0767274648 0.099770486 0.019678069
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#> [11,] 0.1008767486 0.124176748 -0.109666720 -0.1531906724 -0.1153245419
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#> [24,] 0.0471690297 0.030446375 0.060243763 -0.0550398566 -0.1385153234
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#> [,46] [,47] [,48] [,49] [,50]
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#> [9,] -0.101454660 0.028613508 -0.035413504 -0.08298536 -0.115031011
#> [10,] -0.076343223 -0.075506702 -0.071790405 -0.03765493 -0.018374525
#> [11,] -0.100654222 0.123993360 -0.128784999 -0.10939554 0.118147954
#> [12,] 0.153846130 0.089975707 -0.073649861 0.07194111 -0.032375440
#> [13,] 0.137445673 -0.007083515 0.049349301 0.12933551 0.016023507
#> [14,] 0.150585532 -0.066013046 -0.005426350 0.04711276 -0.124599442
#> [15,] -0.079139017 0.114733741 0.019812997 -0.12734544 0.039764017
#> [16,] -0.084886976 -0.006431939 0.069805332 0.07951456 -0.023131009
#> [17,] -0.110654138 -0.047166113 0.025824215 -0.06900669 0.046258099
#> [18,] 0.038257755 -0.092470393 0.119157635 -0.06378236 0.037288062
#> [19,] -0.099199057 -0.038920168 -0.063866220 0.11106310 -0.019363131
#> [20,] -0.075950526 0.015587489 0.037365645 0.04606581 -0.022358123
#> [21,] 0.120648377 -0.137331754 0.049022697 -0.04577117 -0.125212550
#> [22,] 0.136516809 0.113978580 0.098298796 -0.11056130 0.028513357
#> [23,] 0.057780895 -0.091799468 0.033462051 0.04664439 0.064750656
#> [24,] 0.009371203 -0.027654169 0.107667588 0.01204874 0.134157985
#> [25,] -0.055010665 -0.066356853 0.140702784 0.04155220 0.116807871
#> [26,] 0.054400779 0.087183557 0.026083434 -0.05383980 -0.037737433
#> [27,] 0.025074536 -0.120775551 0.002098140 0.02365521 0.119034328
#> [28,] -0.089304626 0.036121648 0.049304586 0.08803938 -0.115812913
#> [29,] -0.027219886 -0.051215358 0.074292094 -0.10763856 -0.084041186
#> [30,] 0.065897964 0.063141160 -0.047551911 0.09346287 0.047897529
#> [31,] 0.022905763 0.048324872 -0.119348936 -0.04391828 0.044537939
#> [32,] -0.016571570 -0.057013310 0.119323783 0.01696291 -0.055342507
#> [33,] -0.129225343 0.021776471 0.007002299 0.13580295 -0.094271876
#> [34,] 0.047179393 -0.011015936 0.040739004 0.05264711 0.044416379
#> [35,] -0.082254991 -0.113350183 -0.126055613 0.04919228 0.084259138
#> [36,] -0.139478162 0.108899914 -0.085002765 0.09004077 0.102457777
#> [37,] 0.086809136 0.051353920 0.131850675 0.03590002 0.019177517
#> [38,] -0.024809204 0.080150217 -0.042690106 0.06484225 0.127239838
#> [39,] -0.014400045 -0.048360907 -0.031977143 -0.02843282 0.056043036
#> [40,] 0.130677164 -0.078741312 -0.054264758 -0.01803306 -0.132681593
#> [41,] -0.133223772 0.073279940 -0.092090063 -0.08480104 0.073138714
#> [42,] -0.015678909 -0.005316248 0.037326477 -0.10074462 0.044970606
#> [43,] -0.120622203 0.010428337 0.002647607 0.08237395 0.131845668
#> [44,] -0.016230516 -0.034626465 0.093429230 0.10623987 0.054680139
#> [45,] -0.006839620 0.048393331 -0.059102673 0.13804500 0.064231940
#> [46,] 0.034917586 0.111464359 -0.005157170 -0.10716220 -0.096622407
#> [47,] 0.077137917 0.099733613 0.085302442 0.13079754 -0.028627632
#> [48,] 0.117650546 0.013370589 -0.086329997 -0.07198849 0.031492814
#> [49,] 0.110856861 -0.057437170 -0.084207326 -0.14650545 0.040478129
#> [50,] 0.095306084 -0.026433311 -0.025027012 0.09810009 0.098290391
#>
#> [[1]]$`2.bias`
#> [1] 0.007377254 -0.020166859 0.001036421 -0.009843710 0.111442715
#> [6] 0.049251348 -0.023005193 -0.044446949 -0.037384927 -0.020794436
#> [11] 0.091208190 -0.123315662 -0.129543632 0.011419545 0.124880433
#> [16] -0.039723523 -0.060614504 0.134591267 -0.001672210 0.083880268
#> [21] -0.035779372 -0.006493183 0.027235353 0.100985318 -0.130664200
#> [26] -0.060755834 0.107594043 -0.079890147 0.129911870 0.046117257
#> [31] 0.125375092 0.060770229 0.121163286 0.007381115 -0.051639307
#> [36] -0.064725459 -0.023314992 0.118021876 -0.058619272 -0.130603462
#> [41] 0.137698591 0.004891883 0.112490661 0.089745417 0.064313643
#> [46] 0.136550501 -0.107070111 0.041184131 0.028228382 0.105472073
#>
#> [[1]]$`4.weight`
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.1422009 -0.3079973 0.07704803 0.09120872 0.04424467 0.1431022 0.04915086
#> [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] -0.2539091 0.01913714 -0.02802493 -0.293216 -0.09522491 -0.1501357
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20]
#> [1,] -0.0187778 0.01966 0.1193062 -0.0599825 0.2471399 -0.08802666 0.09170064
#> [,21] [,22] [,23] [,24] [,25] [,26]
#> [1,] -0.106382 -0.08069574 -0.1756168 -0.05176162 -0.03089817 0.07476822
#> [,27] [,28] [,29] [,30] [,31] [,32]
#> [1,] -0.06148046 0.06399595 0.1048146 0.1522411 0.2318022 -0.2257839
#> [,33] [,34] [,35] [,36] [,37] [,38]
#> [1,] -0.03389754 0.1634204 0.04075433 0.002656166 0.04542913 0.1494624
#> [,39] [,40] [,41] [,42] [,43] [,44] [,45]
#> [1,] 0.1111713 -0.1965092 0.0243721 -0.1337109 0.009799439 0.08766108 0.1316789
#> [,46] [,47] [,48] [,49] [,50]
#> [1,] -0.05306566 -0.09527132 -0.01155359 -0.09695485 0.1296659
#>
#> [[1]]$`4.bias`
#> [1] 0.2536334
#>
#>
# }