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: 3.963883, lr: 0.01000
#> Loss at epoch 2: 0.197250, lr: 0.01000
#> Loss at epoch 3: 0.459870, lr: 0.01000
#> Loss at epoch 4: 0.447857, lr: 0.01000
#> Loss at epoch 5: 0.227505, lr: 0.01000
#> Loss at epoch 6: 0.288097, lr: 0.01000
#> Loss at epoch 7: 0.199268, lr: 0.01000
#> Loss at epoch 8: 0.284061, lr: 0.01000
#> Loss at epoch 9: 0.436366, lr: 0.01000
#> Loss at epoch 10: 0.165460, lr: 0.01000
#> Loss at epoch 11: 0.184338, lr: 0.01000
#> Loss at epoch 12: 0.136724, lr: 0.01000
#> Loss at epoch 13: 0.149914, lr: 0.01000
#> Loss at epoch 14: 0.152093, lr: 0.01000
#> Loss at epoch 15: 0.170458, lr: 0.01000
#> Loss at epoch 16: 0.176203, lr: 0.01000
#> Loss at epoch 17: 0.189944, lr: 0.01000
#> Loss at epoch 18: 0.161092, lr: 0.01000
#> Loss at epoch 19: 0.148210, lr: 0.01000
#> Loss at epoch 20: 0.164488, lr: 0.01000
#> Loss at epoch 21: 0.162436, lr: 0.01000
#> Loss at epoch 22: 0.163305, lr: 0.01000
#> Loss at epoch 23: 0.172168, lr: 0.01000
#> Loss at epoch 24: 0.243252, lr: 0.01000
#> Loss at epoch 25: 0.132562, lr: 0.01000
#> Loss at epoch 26: 0.546875, lr: 0.01000
#> Loss at epoch 27: 0.177578, lr: 0.01000
#> Loss at epoch 28: 0.192777, lr: 0.01000
#> Loss at epoch 29: 0.183818, lr: 0.01000
#> Loss at epoch 30: 0.154352, lr: 0.01000
#> Loss at epoch 31: 0.186305, lr: 0.01000
#> Loss at epoch 32: 0.135644, lr: 0.01000
#> Loss at epoch 33: 0.139553, lr: 0.01000
#> Loss at epoch 34: 0.160403, lr: 0.01000
#> Loss at epoch 35: 0.154453, lr: 0.01000
#> Loss at epoch 36: 0.169457, lr: 0.01000
#> Loss at epoch 37: 0.123535, lr: 0.01000
#> Loss at epoch 38: 0.180764, lr: 0.01000
#> Loss at epoch 39: 0.238997, lr: 0.01000
#> Loss at epoch 40: 0.174004, lr: 0.01000
#> Loss at epoch 41: 0.155138, lr: 0.01000
#> Loss at epoch 42: 0.173104, lr: 0.01000
#> Loss at epoch 43: 0.166610, lr: 0.01000
#> Loss at epoch 44: 0.166952, lr: 0.01000
#> Loss at epoch 45: 0.125737, lr: 0.01000
#> Loss at epoch 46: 0.132701, lr: 0.01000
#> Loss at epoch 47: 0.130678, lr: 0.01000
#> Loss at epoch 48: 0.428728, lr: 0.01000
#> Loss at epoch 49: 0.200900, lr: 0.01000
#> Loss at epoch 50: 0.109238, lr: 0.01000
#> Loss at epoch 51: 0.181168, lr: 0.01000
#> Loss at epoch 52: 0.157806, lr: 0.01000
#> Loss at epoch 53: 0.127271, lr: 0.01000
#> Loss at epoch 54: 0.214960, lr: 0.01000
#> Loss at epoch 55: 0.218292, lr: 0.01000
#> Loss at epoch 56: 0.485201, lr: 0.01000
#> Loss at epoch 57: 0.197565, lr: 0.01000
#> Loss at epoch 58: 0.162187, lr: 0.01000
#> Loss at epoch 59: 0.163314, lr: 0.01000
#> Loss at epoch 60: 0.127961, lr: 0.01000
#> Loss at epoch 61: 0.136617, lr: 0.01000
#> Loss at epoch 62: 0.133512, lr: 0.01000
#> Loss at epoch 63: 0.123569, lr: 0.01000
#> Loss at epoch 64: 0.148302, lr: 0.01000
#> Loss at epoch 65: 0.186050, lr: 0.01000
#> Loss at epoch 66: 0.146952, lr: 0.01000
#> Loss at epoch 67: 0.232022, lr: 0.01000
#> Loss at epoch 68: 0.100675, lr: 0.01000
#> Loss at epoch 69: 0.118698, lr: 0.01000
#> Loss at epoch 70: 0.120607, lr: 0.01000
#> Loss at epoch 71: 0.115503, lr: 0.01000
#> Loss at epoch 72: 0.143236, lr: 0.01000
#> Loss at epoch 73: 0.184907, lr: 0.01000
#> Loss at epoch 74: 0.109125, lr: 0.01000
#> Loss at epoch 75: 0.166606, lr: 0.01000
#> Loss at epoch 76: 0.123347, lr: 0.01000
#> Loss at epoch 77: 0.133271, lr: 0.01000
#> Loss at epoch 78: 0.338105, lr: 0.01000
#> Loss at epoch 79: 0.126170, lr: 0.01000
#> Loss at epoch 80: 0.131164, lr: 0.01000
#> Loss at epoch 81: 0.109315, lr: 0.01000
#> Loss at epoch 82: 0.113243, lr: 0.01000
#> Loss at epoch 83: 0.106264, lr: 0.01000
#> Loss at epoch 84: 0.129860, lr: 0.01000
#> Loss at epoch 85: 0.164180, lr: 0.01000
#> Loss at epoch 86: 0.111806, lr: 0.01000
#> Loss at epoch 87: 0.119878, lr: 0.01000
#> Loss at epoch 88: 0.139591, lr: 0.01000
#> Loss at epoch 89: 0.167658, lr: 0.01000
#> Loss at epoch 90: 0.371242, lr: 0.01000
#> Loss at epoch 91: 0.119417, lr: 0.01000
#> Loss at epoch 92: 0.211999, lr: 0.01000
#> Loss at epoch 93: 0.143504, lr: 0.01000
#> Loss at epoch 94: 0.167160, lr: 0.01000
#> Loss at epoch 95: 0.119966, lr: 0.01000
#> Loss at epoch 96: 0.113907, lr: 0.01000
#> Loss at epoch 97: 0.106057, lr: 0.01000
#> Loss at epoch 98: 0.119183, lr: 0.01000
#> Loss at epoch 99: 0.136681, lr: 0.01000
#> Loss at epoch 100: 0.147255, lr: 0.01000
#> dnn(formula = Sepal.Length ~ Sepal.Width + Petal.Length + Petal.Width +
#> Species, data = datasets::iris[-validation_set, ])
#> An `nn_module` containing 2,901 parameters.
#>
#> ── Modules ─────────────────────────────────────────────────────────────────────
#> • 0: <nn_linear> #300 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,] 0.02821273 -0.09766949 -0.18092735 -0.16975424 -0.182883278
#> [2,] 0.37313789 -0.13063067 0.39677888 0.28128833 -0.307786852
#> [3,] 0.43793079 -0.34236246 0.22320664 0.31025037 -0.043630816
#> [4,] 0.05187014 0.14575090 0.28722295 -0.09104547 -0.299744099
#> [5,] 0.37792626 -0.42140001 0.25444928 0.42741799 -0.134229958
#> [6,] -0.35820341 -0.15572813 0.28246099 0.36435416 0.225304693
#> [7,] -0.15930237 -0.18968064 -0.02983307 -0.29471001 -0.075564772
#> [8,] 0.31538749 0.01958823 -0.12604739 0.15481624 -0.215723127
#> [9,] 0.21171120 -0.26223636 0.17779307 -0.24811579 -0.076381318
#> [10,] -0.46241704 0.41887394 0.08752935 -0.26120150 -0.033559483
#> [11,] -0.21838488 0.11346281 0.33939558 -0.48017457 0.252175093
#> [12,] 0.43281373 -0.28118572 -0.42213181 -0.39477968 -0.118005946
#> [13,] 0.35252213 -0.06183217 0.33048895 0.04437319 0.244049743
#> [14,] -0.19759338 -0.20107803 -0.01464501 -0.10642845 0.421356171
#> [15,] 0.35548428 0.14817888 -0.12889412 0.41314980 -0.418882430
#> [16,] -0.23171426 0.27242166 0.11153195 0.31793207 -0.196398839
#> [17,] 0.05779293 -0.40961394 -0.22896557 0.14640327 0.393668264
#> [18,] -0.35597372 -0.17374350 -0.05497670 -0.11382874 -0.031735212
#> [19,] 0.43458617 -0.41503140 -0.28006837 -0.25688446 -0.059484746
#> [20,] 0.21407954 -0.20572042 -0.06008218 -0.03579978 0.216779426
#> [21,] -0.34120694 0.22656414 -0.18509074 0.35476208 0.375307888
#> [22,] -0.25031376 0.02786072 -0.08784506 0.42584372 -0.279356867
#> [23,] 0.04777586 0.21871713 -0.33908978 0.34386316 -0.220124289
#> [24,] 0.32653886 -0.06536060 0.24916871 -0.21062654 -0.328725845
#> [25,] 0.21486276 -0.31385505 0.10362542 -0.10929099 -0.242466286
#> [26,] -0.16288579 -0.39937598 0.01367304 0.29221147 -0.007761690
#> [27,] 0.39472455 0.38031024 -0.45995873 0.17657198 -0.109251395
#> [28,] 0.03763746 -0.40192339 -0.04377523 0.31690744 -0.077890910
#> [29,] 0.40970960 -0.36973840 0.26598755 -0.20255619 -0.213196427
#> [30,] 0.14219846 -0.07869642 -0.31284007 -0.42451233 -0.426880121
#> [31,] -0.19034685 0.13875313 -0.35645288 -0.39260343 -0.022118686
#> [32,] 0.39679229 0.04054641 0.29256237 0.12018039 -0.433970034
#> [33,] 0.18603049 -0.08427213 -0.23558570 0.25355381 0.310212433
#> [34,] -0.06631813 -0.20410290 0.01255431 0.16328990 0.012939663
#> [35,] -0.16351330 0.46739274 0.14078847 0.26340720 0.005314776
#> [36,] 0.17292726 -0.34507740 0.18852964 0.32286778 -0.011320028
#> [37,] 0.37217972 0.20029776 0.19840232 -0.18074988 -0.332367837
#> [38,] -0.38935658 0.37908778 0.04986158 0.15883133 -0.023041334
#> [39,] -0.24076077 -0.23893179 -0.01143725 0.07539030 0.042848743
#> [40,] -0.16771434 -0.16533716 0.45758235 -0.01876530 -0.281043321
#> [41,] 0.28487009 -0.30914477 -0.09393574 0.35810360 0.165068418
#> [42,] -0.41848531 -0.26654705 0.02237551 0.18209012 -0.190860853
#> [43,] -0.21239823 0.28370216 -0.34566891 -0.12751961 0.405156136
#> [44,] 0.22382830 -0.13100196 -0.02597948 0.17224690 0.091673635
#> [45,] -0.37234369 -0.20682049 -0.15571143 0.16767333 0.166776285
#> [46,] -0.27995640 0.33634573 0.10571044 0.24524325 0.019683564
#> [47,] -0.31265882 -0.10308161 0.26875937 -0.06155857 -0.339562863
#> [48,] 0.32080781 -0.38314244 -0.12843286 -0.10323165 -0.361847341
#> [49,] 0.12435094 -0.17283638 0.20452324 -0.20481674 0.228396922
#> [50,] -0.37998086 0.28467950 0.17901945 0.39703736 -0.274136305
#>
#> [[1]]$`0.bias`
#> [1] 0.00533016 -0.04988042 -0.15664671 -0.40173471 0.16407894 -0.04813331
#> [7] 0.20250152 0.12942359 0.45438674 -0.14621304 -0.15354773 -0.22091813
#> [13] -0.08555809 -0.39929894 0.06971673 0.11664741 -0.31424704 0.43142998
#> [19] -0.14761274 0.40141696 -0.37807572 0.45529148 0.11176103 -0.07286517
#> [25] -0.29819652 -0.25869185 0.25182316 -0.42433017 0.24716289 0.15217760
#> [31] 0.38840964 -0.14837587 0.30273479 -0.38722882 0.06073029 -0.40318498
#> [37] 0.01257920 0.20429751 -0.21000467 -0.24431512 0.03180568 0.32501608
#> [43] -0.21340828 -0.22080919 -0.14068913 0.10158154 0.34027934 -0.07823776
#> [49] -0.04442006 0.06574810
#>
#> [[1]]$`2.weight`
#> [,1] [,2] [,3] [,4] [,5]
#> [1,] 0.068759434 -0.055653643 0.13127215 -0.083736919 0.081155494
#> [2,] 0.015103221 0.025418211 -0.13239279 0.037507124 0.011691527
#> [3,] 0.070879713 -0.017114697 0.13011163 -0.036259659 0.036915105
#> [4,] 0.118228935 0.102634855 -0.06205759 0.082665659 0.006084518
#> [5,] -0.120021895 -0.109604225 -0.09719285 0.105247535 -0.072678328
#> [6,] -0.027615067 0.009865536 -0.02063719 0.042281445 -0.037398629
#> [7,] -0.068307266 -0.018465882 -0.09704722 0.054336824 -0.164903045
#> [8,] 0.002241752 0.075210914 -0.09475365 -0.143447071 0.123330809
#> [9,] 0.040631376 0.064511575 0.11313005 0.004213009 0.025647914
#> [10,] 0.102888554 -0.121923931 0.01540508 -0.082706340 0.033630870
#> [11,] -0.083107628 0.123043410 0.05627503 -0.065909788 0.077314526
#> [12,] 0.069494560 0.129618570 0.07843996 0.053359460 0.081523433
#> [13,] -0.036201034 0.054104719 -0.04576296 -0.126973271 -0.064489722
#> [14,] 0.019219423 0.097511746 0.06509304 -0.071345292 -0.132923290
#> [15,] 0.062807560 0.123122543 0.01339193 -0.094688639 -0.132937312
#> [16,] -0.095881894 0.102968268 -0.03528845 0.050385453 -0.043144099
#> [17,] 0.044603802 -0.147493005 -0.04678638 0.140040308 0.086172715
#> [18,] -0.012735629 0.102520466 0.09284625 0.083390377 -0.060267340
#> [19,] 0.038639635 0.092046157 -0.11156211 -0.070931681 0.126052186
#> [20,] 0.096848831 0.119083919 0.05098573 -0.045692187 -0.084979393
#> [21,] 0.060227219 0.107925043 0.02304938 -0.119177960 -0.129513577
#> [22,] 0.006832776 -0.112202935 0.08775509 0.071952567 0.011964925
#> [23,] 0.073001944 -0.102476776 -0.07100038 0.086221971 0.086612120
#> [24,] 0.084986247 0.135008618 -0.12746805 -0.111974999 -0.093559861
#> [25,] -0.072600208 -0.081502855 0.01200140 -0.147877440 0.044789419
#> [26,] 0.137817830 -0.052802347 -0.10429634 -0.128663361 -0.047348976
#> [27,] -0.089484259 -0.040094990 -0.01512314 -0.117939889 0.111480385
#> [28,] 0.004594359 -0.093691729 -0.11971149 0.088319540 -0.097498015
#> [29,] 0.007375658 0.065713458 -0.09527375 0.105675511 0.059253231
#> [30,] -0.005761524 -0.047747176 0.13387851 -0.051837984 -0.023263182
#> [31,] -0.078709736 -0.084689789 0.02642665 -0.081502303 -0.075606547
#> [32,] 0.046943743 0.017592939 0.06205098 -0.031630576 0.008600088
#> [33,] 0.014162659 0.053233705 0.13659391 0.064382717 0.073870517
#> [34,] 0.031283144 -0.014638286 0.12748502 -0.016484693 0.109531365
#> [35,] 0.117912851 -0.019298811 -0.14973250 -0.052946221 -0.064675160
#> [36,] 0.083943434 0.036486484 0.04842848 -0.115521230 -0.088519394
#> [37,] 0.100873992 -0.082354352 0.06684704 -0.088490047 -0.066592515
#> [38,] -0.137833208 -0.109085463 -0.06853301 -0.042536546 0.030451978
#> [39,] 0.041371919 0.106306612 -0.06917422 0.095649876 -0.034698017
#> [40,] 0.101291195 0.095451429 -0.13716528 0.087978221 -0.106612824
#> [41,] 0.012910417 -0.138703123 -0.09065744 0.011411448 -0.024953101
#> [42,] -0.131085277 -0.052961197 0.04614984 -0.043076716 0.090767182
#> [43,] -0.009334031 0.012469309 0.04004399 0.042780548 -0.070633695
#> [44,] -0.087452613 0.057754558 -0.12888405 -0.115460873 -0.088467188
#> [45,] 0.076641925 -0.023814457 0.06379900 -0.052856069 0.064885050
#> [46,] -0.006548622 0.011495606 -0.07657813 0.148551941 0.111246631
#> [47,] -0.124990016 -0.052416071 0.08033766 -0.147432908 0.119693823
#> [48,] 0.067064963 0.047535595 0.04083582 0.108685628 -0.096882194
#> [49,] -0.006552578 -0.020336557 -0.03285928 0.093765683 -0.021844672
#> [50,] 0.064743504 -0.128411829 0.05414264 0.010670396 -0.075430103
#> [,6] [,7] [,8] [,9] [,10]
#> [1,] 0.090951048 0.099378422 -0.077938415 -0.026519278 0.069202319
#> [2,] 0.039511569 -0.017101631 -0.105978407 0.042948801 0.004838264
#> [3,] -0.067756958 -0.044616267 -0.141450748 0.047300603 0.032749828
#> [4,] -0.076878048 -0.084882952 0.039473310 0.067886777 -0.031170163
#> [5,] -0.020320393 0.112704381 0.113188006 -0.112555444 0.054632094
#> [6,] -0.116094008 -0.032760821 0.120439693 -0.139319509 0.070780404
#> [7,] -0.040343169 -0.018021766 0.060547657 -0.146771774 0.118655428
#> [8,] -0.068794861 0.023936221 0.053614862 0.088697113 0.046680279
#> [9,] -0.139021918 0.008183935 0.134090170 0.125044331 0.114336513
#> [10,] -0.065643050 -0.141380906 -0.102956377 0.132279813 0.068944953
#> [11,] 0.029308561 -0.019430103 -0.120896831 0.013249804 0.010687857
#> [12,] -0.072478317 -0.107569665 0.045987833 0.117879786 -0.115007482
#> [13,] 0.084554583 0.047769114 -0.080229528 -0.026405796 -0.049363818
#> [14,] -0.120645076 0.065432914 0.140806600 -0.073865980 -0.125562936
#> [15,] 0.041800436 0.105216078 -0.075418249 -0.061062936 0.133372337
#> [16,] -0.123603545 0.040009961 -0.087628998 0.113461912 -0.081279755
#> [17,] -0.087426640 -0.128962487 0.133491457 -0.131037399 -0.014415073
#> [18,] 0.084688127 0.131093487 0.071599960 0.022551939 0.098308988
#> [19,] -0.135941029 0.059771590 -0.070277788 0.022834875 -0.012911819
#> [20,] 0.012453954 -0.062261023 0.006600829 0.024609674 0.043615110
#> [21,] -0.053622410 -0.065430574 -0.013486738 0.069948412 0.038314961
#> [22,] -0.036585011 0.071867429 -0.012634493 0.136808425 0.088487089
#> [23,] 0.054373581 -0.038594577 -0.112994820 0.121435203 0.110072069
#> [24,] -0.036300592 0.061875422 -0.026401961 0.066365436 -0.120361455
#> [25,] 0.017842773 -0.091620676 -0.077412307 0.143710583 -0.036434509
#> [26,] 0.154872671 0.102746941 -0.103568405 -0.126807064 0.022322150
#> [27,] 0.123995051 0.146534726 0.081021085 -0.076169424 0.005322657
#> [28,] -0.106449649 0.067998856 -0.029912641 -0.120729662 -0.081782043
#> [29,] -0.098454848 0.105675377 0.059420217 0.129364654 -0.005284840
#> [30,] 0.027621202 -0.119625539 0.108334772 -0.084118649 -0.039549559
#> [31,] -0.112938613 0.125775382 0.098324724 0.006804349 0.178220183
#> [32,] -0.126174733 -0.089498624 0.044190791 0.065699995 -0.112705089
#> [33,] -0.065900706 -0.097349674 0.110043101 -0.103239618 0.040434029
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#> [23,] 0.003300540 0.006500857 -0.1451042295 0.129399657 0.042682957
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#> [26,] 0.117434576 0.043467660 0.0488761067 -0.048880730 0.030190282
#> [27,] 0.139798880 0.021517215 0.0942761078 0.040407933 -0.010128933
#> [28,] 0.002917594 0.125081465 -0.0917461440 -0.003617894 -0.081623212
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#> [31,] 0.109170377 0.057254095 0.0024364269 -0.023725068 0.084711447
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#> [1,] 0.099135906 0.141942129 -0.015232882 -0.022261556 -0.057953201
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#> [3,] -0.039672028 -0.085065395 -0.070572414 0.130438164 0.008338650
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#> [8,] -0.118229710 0.112136655 -0.121285871 -0.108802542 0.126266226
#> [9,] 0.035640169 -0.009553835 -0.045779355 -0.009664916 -0.076216280
#> [10,] -0.038770657 0.002749808 -0.084802203 0.113370791 0.014464824
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#> [20,] 0.036443152 -0.107532218 -0.103836901 0.095486112 0.012295685
#> [21,] 0.128378004 -0.050861601 0.075987041 0.036148019 0.115040906
#> [22,] 0.110340275 -0.001549855 0.051472902 0.132439032 -0.085911036
#> [23,] 0.036565844 -0.022889169 -0.034838218 0.070461102 -0.096357040
#> [24,] 0.009432677 -0.026564553 0.001180235 -0.129904062 0.071805634
#> [25,] 0.073596671 -0.086307667 -0.142905921 0.026560251 -0.080706775
#> [26,] 0.070910625 -0.090225041 0.058102053 -0.013007069 0.113939583
#> [27,] -0.008955827 -0.087340005 0.048845913 -0.107838966 -0.126903921
#> [28,] -0.128361657 -0.111816518 0.055421889 -0.125967860 -0.051188804
#> [29,] -0.086646184 -0.061753415 -0.066177279 0.021084059 -0.147347212
#> [30,] 0.110505566 -0.075228021 -0.030608917 0.022815546 0.026076606
#> [31,] 0.131679147 -0.147869766 0.093211696 0.039899372 0.058823213
#> [32,] 0.047090299 0.120715633 0.031384647 -0.028456904 0.006682916
#> [33,] 0.089352787 -0.112444602 0.037184134 0.062044177 0.055193510
#> [34,] -0.091159001 -0.059149437 0.105568163 0.065287881 0.133957654
#> [35,] 0.054056123 -0.144417375 -0.092635497 -0.032006547 0.136611581
#> [36,] 0.021147661 0.084366553 0.131483555 -0.142214417 -0.137098715
#> [37,] -0.123087116 -0.055882819 0.105631404 0.046223644 -0.013053422
#> [38,] -0.006977696 0.028711619 -0.068395339 0.058497671 -0.009837735
#> [39,] -0.040225580 -0.125904053 0.095669270 0.031622622 -0.129407212
#> [40,] -0.035916295 0.043518804 -0.102717392 -0.053536393 0.010370282
#> [41,] -0.012565280 0.034715954 -0.094833508 -0.108414985 0.047069784
#> [42,] 0.029884167 0.130463749 -0.098426610 0.088014796 -0.100969598
#> [43,] 0.031038733 -0.113503769 0.060537852 0.038394079 -0.092414036
#> [44,] -0.103598744 -0.041816063 0.135136470 0.027531503 -0.046532173
#> [45,] 0.080048658 0.023226310 -0.096045747 -0.088977061 -0.099025518
#> [46,] 0.135956332 -0.120122083 0.015385824 0.135459170 -0.056027748
#> [47,] 0.086742811 -0.049780499 -0.144732609 -0.135629520 -0.036687195
#> [48,] -0.012724394 0.069838300 0.063459508 -0.042513762 -0.128821075
#> [49,] 0.015237276 0.059945989 0.026978711 -0.010367204 -0.008877747
#> [50,] -0.067747779 0.106872678 -0.116226405 -0.108618468 0.120551899
#> [,26] [,27] [,28] [,29] [,30]
#> [1,] 0.085735179 -0.1273957491 -0.122693285 -0.026005292 -0.074029930
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#> [4,] 0.055520590 0.0969079882 0.072570316 -0.083298959 -0.122638896
#> [5,] -0.014451557 -0.1301954687 0.104485393 -0.011373728 -0.097186841
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#> [7,] -0.066526435 -0.0179689229 -0.116109960 -0.103094190 0.054786470
#> [8,] 0.061000869 0.0554107465 0.137550503 0.111106344 0.071089819
#> [9,] 0.035505734 0.0744461343 0.114738852 0.068769872 0.019699419
#> [10,] -0.014525063 0.0019518128 0.090523757 0.108753406 0.093868949
#> [11,] 0.108345933 -0.0550206862 0.055746276 -0.113413461 0.057664245
#> [12,] 0.050496083 -0.1001359895 0.093009800 0.116640754 0.103876449
#> [13,] -0.139984176 0.0689605922 -0.138611823 -0.115222000 -0.080629759
#> [14,] 0.085554406 0.1159004271 0.115462452 -0.037783608 0.125416026
#> [15,] -0.125333250 -0.0169885214 0.025883062 -0.075041831 0.003709604
#> [16,] -0.062018443 -0.0008176563 -0.012345795 -0.064908810 -0.050929721
#> [17,] 0.003529374 0.0840748399 -0.106177695 -0.150659710 -0.084027812
#> [18,] 0.145334512 -0.1485771984 -0.113727167 0.115440778 0.034040943
#> [19,] -0.071529634 0.0722202733 -0.096097022 0.056898955 0.019080127
#> [20,] -0.055782601 -0.1142284796 0.051963251 0.087357901 -0.039485201
#> [21,] 0.005480875 0.1442164928 0.028041653 0.076849766 -0.022184160
#> [22,] 0.020206099 -0.0992432535 -0.050080411 0.074024849 0.071546122
#> [23,] -0.135373771 -0.0660370141 -0.118687376 0.117105968 -0.116251931
#> [24,] 0.104586855 0.1151576862 -0.010946294 -0.064406060 0.032164838
#> [25,] -0.092664406 -0.0898153111 -0.051266331 -0.103442632 -0.129803121
#> [26,] 0.135257542 -0.1052879840 -0.074123070 0.102774985 -0.108928591
#> [27,] 0.034695383 0.0821848288 0.124750495 0.094188340 0.038857512
#> [28,] 0.072538927 -0.0255367663 -0.109772213 -0.006397027 -0.088290937
#> [29,] 0.104265273 -0.1411093771 -0.092560187 -0.120506547 -0.131378368
#> [30,] 0.056120198 -0.2027920336 -0.104164518 -0.033077572 -0.128470480
#> [31,] 0.045189351 0.1437864304 -0.002425706 -0.004300907 -0.002161167
#> [32,] -0.118799180 -0.0992590636 0.029212713 -0.025647571 0.015220115
#> [33,] 0.033514362 0.0703266114 -0.011682604 -0.099544354 0.078294620
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#> [13,] 0.026075562 -0.0727115646 0.0167083368 -0.005170587 0.06930169
#> [14,] 0.022619298 0.0143314097 0.0843280032 0.063093871 0.11629108
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#> [22,] -0.036208101 -0.0996467397 0.0880257264 0.133298323 0.09397997
#> [23,] 0.081543624 0.1063572541 0.0169083960 0.100854456 0.12022367
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#> [26,] 0.099266902 -0.0884288624 0.0852161944 0.088233404 -0.07835868
#> [27,] 0.127038792 -0.1018833145 -0.0357913300 0.055550020 0.09315314
#> [28,] 0.044304464 0.0045999843 0.0316581801 -0.020325886 -0.07631103
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#> [31,] 0.001160616 -0.0051098606 0.0605112128 -0.134892240 -0.04966463
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#> [33,] 0.012942952 -0.1343152523 0.1270583421 -0.061386000 -0.04123912
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#> [41,] 0.017004512 -0.0003296842 0.0287651662 0.140963987 0.06221011
#> [42,] 0.009212591 -0.0409058332 0.0038744786 -0.101313360 0.12176792
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#> [1,] -0.05260745 0.128276691 0.020030001 0.110681869 0.1453216523
#> [2,] 0.02427641 0.112488940 0.067220122 -0.069944218 0.0917136148
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#> [8,] -0.07737590 0.057610974 -0.014614968 0.082428046 -0.0242972355
#> [9,] 0.07830426 0.029198056 0.013228453 0.040447868 -0.0702943355
#> [10,] -0.14457931 -0.071432009 0.132958308 -0.068980262 -0.0341689177
#> [11,] -0.07835276 0.001286724 -0.095030516 0.024052409 0.0889848098
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#> [13,] -0.01089239 0.128550947 0.003086356 -0.061059684 0.0725193620
#> [14,] 0.08010203 0.104728706 -0.067952231 -0.075572327 0.0656088740
#> [15,] 0.10923624 0.093256719 -0.006060059 -0.035711329 0.0896727890
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#> [19,] 0.13343923 0.032658018 0.101199552 -0.080526948 -0.1161182821
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#> [21,] -0.00710720 -0.155067325 0.128224745 -0.037122320 0.1054093912
#> [22,] 0.09499403 0.008562048 0.028980622 -0.061314188 0.0283356644
#> [23,] -0.12307228 0.078202821 -0.090679601 0.123724267 -0.0376583785
#> [24,] -0.04680118 -0.052798998 0.008094339 0.093427598 -0.0447971188
#> [25,] 0.02804015 0.075826615 0.123700075 0.015506223 -0.0960907266
#> [26,] 0.07035081 -0.043604657 -0.141687468 -0.069190845 0.1115838438
#> [27,] 0.10466002 -0.056812610 0.126253590 0.048242852 0.1300705671
#> [28,] 0.04051592 0.084079355 -0.116610222 0.056385078 -0.0339112766
#> [29,] 0.09520999 0.145866171 0.057205379 -0.053243566 0.1156123579
#> [30,] 0.12451631 0.130691782 -0.048827291 -0.012411234 0.0279339589
#> [31,] 0.08071060 -0.054748546 0.126441687 -0.060074240 -0.0290048793
#> [32,] 0.12908526 0.078606017 0.138223723 -0.076078750 -0.1107538119
#> [33,] -0.12401638 0.149236545 -0.054658677 -0.087893426 -0.0829779580
#> [34,] -0.07144479 0.134489268 0.068188943 -0.007650624 0.1251196563
#> [35,] 0.04704859 0.029950850 -0.005114792 0.077474214 0.0143991932
#> [36,] 0.05274035 -0.116128080 -0.063183397 0.102115348 0.1330512762
#> [37,] -0.09508681 -0.008660422 -0.004668995 0.047465105 -0.0316373929
#> [38,] -0.03232348 -0.081638716 -0.127102390 -0.113417014 -0.0629339144
#> [39,] -0.06236517 -0.027772423 0.147646189 -0.106859587 -0.0527716577
#> [40,] 0.01153466 0.071630329 -0.128683135 -0.081777304 0.0246438328
#> [41,] -0.01277521 0.059640981 0.040707365 0.023685850 -0.1088358611
#> [42,] 0.06984573 0.133701846 0.122353882 -0.085542910 -0.0006516274
#> [43,] -0.09213099 0.006450280 0.001430262 -0.049509142 0.0534866899
#> [44,] 0.02941865 0.093390986 0.152380839 -0.044017378 -0.0217056014
#> [45,] -0.12462183 -0.021784933 -0.047892697 0.001339103 -0.1341559440
#> [46,] 0.07621544 -0.032743149 -0.076039448 -0.024020314 0.0070238016
#> [47,] 0.13135064 -0.112438060 0.057864036 0.033948507 0.0585581064
#> [48,] 0.04085736 0.092914544 -0.049418349 0.014683452 -0.0873639658
#> [49,] 0.12361114 -0.065175891 -0.095782995 0.078717269 0.0022920519
#> [50,] 0.05323596 0.046727970 0.106257044 0.002605934 0.0654238760
#> [,46] [,47] [,48] [,49] [,50]
#> [1,] 0.017125310 0.0006209364 -0.072409518 -0.015613370 -0.1320961416
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#> [4,] 0.040942237 -0.1195585579 -0.089918494 0.056627449 -0.0237246957
#> [5,] 0.040562853 -0.1169025376 0.106682047 0.083191007 0.0819439292
#> [6,] -0.007504613 -0.0471671969 0.043532055 0.119514205 -0.1092547551
#> [7,] 0.082757860 0.0421532840 0.049986802 -0.136438519 -0.0894430727
#> [8,] 0.087397277 0.1194051653 -0.141512230 -0.049238235 -0.0804629102
#> [9,] 0.043511659 -0.0934548005 0.044513129 0.002305205 -0.1235322058
#> [10,] -0.081331141 0.0172439851 0.112866707 -0.087308079 -0.1198915541
#> [11,] -0.065504387 0.1465473771 0.011222612 -0.034383696 -0.0071304129
#> [12,] 0.066388831 -0.0447960123 0.038350202 0.086044326 -0.0750544220
#> [13,] 0.084940650 0.0107083730 0.068364486 -0.145840302 0.1158358082
#> [14,] -0.019313898 0.0337686799 0.106303528 -0.033014476 -0.0453482494
#> [15,] -0.014309187 0.0906390101 0.018335149 -0.053853035 0.0952335447
#> [16,] -0.057874750 0.0286304988 0.019245028 0.051061243 0.0713576600
#> [17,] -0.050763249 0.0503810309 -0.093825452 -0.081170298 -0.0030015230
#> [18,] 0.001323643 0.0726418421 0.040029932 -0.121948563 0.1309206635
#> [19,] 0.014528212 0.1199376062 -0.099829614 0.135784984 0.0840750113
#> [20,] -0.046474591 0.0244041383 0.126963869 -0.100330874 0.1401328593
#> [21,] 0.101244621 -0.0348910801 0.056760240 -0.101561800 -0.1069760621
#> [22,] 0.032045323 -0.0599723645 0.032910522 0.036810413 -0.1452645510
#> [23,] 0.150237933 -0.0965439081 -0.003936510 -0.095468886 -0.1188665628
#> [24,] -0.022066562 0.0102432724 -0.081241496 -0.020487377 0.0567061864
#> [25,] 0.121200562 -0.0294806436 0.105805546 0.021516595 -0.1019662619
#> [26,] 0.087318882 0.1123670489 0.121324383 -0.097014792 0.0024950919
#> [27,] -0.036924142 -0.0984558910 -0.006701123 -0.102401391 -0.0750640929
#> [28,] -0.041761030 0.0722247437 -0.127274513 0.074315883 0.0561521873
#> [29,] -0.004786180 0.0075531905 -0.037355982 0.129485235 0.0061366563
#> [30,] -0.094688147 0.1185596362 -0.046303611 -0.119477965 0.0936245024
#> [31,] -0.040409558 -0.1442087293 0.119214535 0.025982624 0.1383348256
#> [32,] -0.102084324 0.0209327936 -0.133878037 -0.089119643 0.1417264789
#> [33,] -0.098368950 0.0562144145 -0.056612156 0.135265678 0.0123350089
#> [34,] 0.028472088 -0.0051434124 -0.016958067 -0.109453999 -0.1186649650
#> [35,] -0.014442943 -0.0773283318 0.043913744 -0.118158497 0.0510012843
#> [36,] -0.075589858 -0.0251652133 -0.124063641 -0.108287200 -0.1252036989
#> [37,] -0.017534520 0.0979118943 -0.100522108 0.042041995 -0.0497770496
#> [38,] 0.133399829 -0.0145399561 0.055988766 -0.034031775 -0.0004736667
#> [39,] 0.111111581 0.0719786808 0.078929625 -0.044686079 0.0983740538
#> [40,] -0.050442319 -0.1025434956 0.068404771 -0.091861837 -0.0528250523
#> [41,] 0.064321525 0.0271488521 -0.114794455 0.034399714 -0.1270416826
#> [42,] -0.095492922 -0.0794738084 0.108824864 -0.072882287 -0.0069536623
#> [43,] -0.055926912 0.0972751901 -0.007682343 0.075649939 0.0219721682
#> [44,] 0.143748358 -0.0857400820 0.065436147 0.063653260 0.1151135862
#> [45,] -0.121196441 -0.1199730858 -0.038613122 -0.113981217 -0.0762016848
#> [46,] 0.008297200 -0.0702569708 0.133842513 0.074419782 0.0334905870
#> [47,] 0.121736668 -0.0555050597 -0.105964422 -0.130005002 0.0543809682
#> [48,] 0.120862104 -0.0540726744 0.045944825 0.000799371 -0.1077982783
#> [49,] -0.059175905 -0.0011382885 0.139593959 -0.066294871 -0.0299039353
#> [50,] 0.134032175 0.1106929854 0.023042113 0.114560261 0.1053758040
#>
#> [[1]]$`2.bias`
#> [1] 0.101042405 -0.106865503 0.125243694 -0.130647853 0.012762768
#> [6] 0.136598557 -0.049118467 -0.071585990 0.090344541 -0.051313184
#> [11] -0.037872903 -0.062319309 0.096095473 0.018142670 0.057532310
#> [16] -0.057569593 -0.026404919 -0.054481298 -0.035676062 0.099709965
#> [21] 0.107368305 -0.054898351 0.070901051 -0.047197863 0.037443403
#> [26] 0.007482094 -0.038871527 0.128501356 -0.047779974 -0.004871946
#> [31] 0.125409141 0.063802585 0.038505673 -0.146786571 -0.131999075
#> [36] -0.018448893 -0.041058492 -0.083152585 -0.143644631 -0.010284307
#> [41] 0.126048714 0.131669834 -0.050029080 0.073924795 -0.097713910
#> [46] 0.019017348 0.122138269 0.127857611 -0.027352143 -0.071730159
#>
#> [[1]]$`4.weight`
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] -0.2509254 -0.01873828 -0.003425301 0.11 -0.2380965 0.225369 0.1674028
#> [,8] [,9] [,10] [,11] [,12] [,13] [,14]
#> [1,] -0.1063567 0.1304545 0.02736623 -0.1498004 0.04441846 0.105053 0.01240779
#> [,15] [,16] [,17] [,18] [,19] [,20]
#> [1,] -0.07187423 0.08430326 0.1379596 -0.2405567 -0.01478522 0.007920717
#> [,21] [,22] [,23] [,24] [,25] [,26] [,27]
#> [1,] 0.1271616 -0.086798 0.0981639 -0.01783963 -0.264604 -0.3114285 -0.1440371
#> [,28] [,29] [,30] [,31] [,32] [,33]
#> [1,] -0.01309788 -0.1576957 -0.3085491 0.2063282 0.02083832 0.02892408
#> [,34] [,35] [,36] [,37] [,38] [,39]
#> [1,] 0.05064648 0.1582949 -0.08512452 -0.02793183 0.074639 0.106357
#> [,40] [,41] [,42] [,43] [,44] [,45]
#> [1,] -0.001338765 -0.1824349 -0.05036336 -0.1013086 0.156791 0.03049869
#> [,46] [,47] [,48] [,49] [,50]
#> [1,] 0.1569561 -0.1464819 0.04302794 -0.003403831 -0.2390229
#>
#> [[1]]$`4.bias`
#> [1] 0.1296245
#>
#>
# }