Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.902233600616455
Intra Cos: 0.07925508916378021
Inter Cos: 0.0030592717230319977
Norm Quadratic Average: 3.9833998680114746
Nearest Class Center Accuracy: 0.93875

Layer 1: ReLU()
Intra Cos: 0.3762504756450653
Inter Cos: 0.02180406078696251
Norm Quadratic Average: 7.835909843444824
Nearest Class Center Accuracy: 0.97325

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.1348373889923096
Intra Cos: 0.30400270223617554
Inter Cos: 0.09029892086982727
Norm Quadratic Average: 4.509507179260254
Nearest Class Center Accuracy: 0.856

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.719359874725342
Intra Cos: 0.22886404395103455
Inter Cos: 0.029687296599149704
Norm Quadratic Average: 3.142120361328125
Nearest Class Center Accuracy: 0.8765

Layer 4: ReLU()
Intra Cos: 0.353643000125885
Inter Cos: 0.15214677155017853
Norm Quadratic Average: 5.537271976470947
Nearest Class Center Accuracy: 0.8345

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.899772882461548
Intra Cos: 0.2815088927745819
Inter Cos: 0.006452428176999092
Norm Quadratic Average: 1.2543057203292847
Nearest Class Center Accuracy: 0.99425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.134941577911377
Intra Cos: 0.20461566746234894
Inter Cos: -0.014486555010080338
Norm Quadratic Average: 2.8932106494903564
Nearest Class Center Accuracy: 0.99875

Layer 7: ReLU()
Intra Cos: 0.663053572177887
Inter Cos: 0.026995588093996048
Norm Quadratic Average: 2.512648582458496
Nearest Class Center Accuracy: 1.0

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.6022751331329346
Intra Cos: 0.5880526304244995
Inter Cos: 0.04406540095806122
Norm Quadratic Average: 1.360676884651184
Nearest Class Center Accuracy: 0.9995

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.659839391708374
Intra Cos: 0.46190521121025085
Inter Cos: -0.018627893179655075
Norm Quadratic Average: 2.5660810470581055
Nearest Class Center Accuracy: 0.999

Layer 10: ReLU()
Intra Cos: 0.8526611328125
Inter Cos: 0.05121329426765442
Norm Quadratic Average: 2.361635446548462
Nearest Class Center Accuracy: 0.9995

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.499905586242676
Intra Cos: 0.8391684293746948
Inter Cos: -0.08765628933906555
Norm Quadratic Average: 1.292259693145752
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.938791275024414
Intra Cos: 0.7815881967544556
Inter Cos: -0.11443076282739639
Norm Quadratic Average: 2.457733154296875
Nearest Class Center Accuracy: 1.0

Layer 13: ReLU()
Intra Cos: 0.9462472200393677
Inter Cos: -0.004509650636464357
Norm Quadratic Average: 2.1496715545654297
Nearest Class Center Accuracy: 1.0

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4654617309570312
Intra Cos: 0.9306062459945679
Inter Cos: -0.1764727234840393
Norm Quadratic Average: 1.3796316385269165
Nearest Class Center Accuracy: 1.0

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5749220848083496
Intra Cos: 0.8924371600151062
Inter Cos: -0.1681624799966812
Norm Quadratic Average: 2.4177467823028564
Nearest Class Center Accuracy: 1.0

Layer 16: ReLU()
Intra Cos: 0.9812737107276917
Inter Cos: -0.05106488615274429
Norm Quadratic Average: 1.9106087684631348
Nearest Class Center Accuracy: 1.0

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4511756896972656
Intra Cos: 0.9747835397720337
Inter Cos: -0.1979108303785324
Norm Quadratic Average: 1.2786952257156372
Nearest Class Center Accuracy: 1.0

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3343472480773926
Intra Cos: 0.9599000215530396
Inter Cos: -0.18418844044208527
Norm Quadratic Average: 2.4117326736450195
Nearest Class Center Accuracy: 1.0

Layer 19: ReLU()
Intra Cos: 0.9944489598274231
Inter Cos: 0.04791179299354553
Norm Quadratic Average: 1.8256373405456543
Nearest Class Center Accuracy: 1.0

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4494738578796387
Intra Cos: 0.9926146268844604
Inter Cos: -0.20730972290039062
Norm Quadratic Average: 1.2560263872146606
Nearest Class Center Accuracy: 1.0

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2079808712005615
Intra Cos: 0.9910494089126587
Inter Cos: -0.21356168389320374
Norm Quadratic Average: 2.409850597381592
Nearest Class Center Accuracy: 1.0

Layer 22: ReLU()
Intra Cos: 0.9960769414901733
Inter Cos: -0.019129039719700813
Norm Quadratic Average: 1.7356213331222534
Nearest Class Center Accuracy: 1.0

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.451035261154175
Intra Cos: 0.995147168636322
Inter Cos: -0.22557435929775238
Norm Quadratic Average: 1.2041488885879517
Nearest Class Center Accuracy: 1.0

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1493043899536133
Intra Cos: 0.9957074522972107
Inter Cos: -0.2417459487915039
Norm Quadratic Average: 2.4088401794433594
Nearest Class Center Accuracy: 1.0

Layer 25: ReLU()
Intra Cos: 0.9974117875099182
Inter Cos: -0.08507989346981049
Norm Quadratic Average: 1.6638011932373047
Nearest Class Center Accuracy: 1.0

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4515626430511475
Intra Cos: 0.9958438277244568
Inter Cos: -0.2154499888420105
Norm Quadratic Average: 1.1588958501815796
Nearest Class Center Accuracy: 1.0

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.120819568634033
Intra Cos: 0.9963701963424683
Inter Cos: -0.20235688984394073
Norm Quadratic Average: 2.4041500091552734
Nearest Class Center Accuracy: 1.0

Layer 28: ReLU()
Intra Cos: 0.9976682662963867
Inter Cos: -0.11019603908061981
Norm Quadratic Average: 1.605783462524414
Nearest Class Center Accuracy: 1.0

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.452249765396118
Intra Cos: 0.9964349269866943
Inter Cos: -0.2461971938610077
Norm Quadratic Average: 1.1203974485397339
Nearest Class Center Accuracy: 1.0

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.112013816833496
Intra Cos: 0.9967322945594788
Inter Cos: -0.21723446249961853
Norm Quadratic Average: 2.39737868309021
Nearest Class Center Accuracy: 1.0

Layer 31: ReLU()
Intra Cos: 0.9976450800895691
Inter Cos: -0.17790481448173523
Norm Quadratic Average: 1.5423403978347778
Nearest Class Center Accuracy: 1.0

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4565651416778564
Intra Cos: 0.9965195059776306
Inter Cos: -0.2696191668510437
Norm Quadratic Average: 1.0989313125610352
Nearest Class Center Accuracy: 1.0

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.151052236557007
Intra Cos: 0.9965646266937256
Inter Cos: -0.2604212462902069
Norm Quadratic Average: 2.3935906887054443
Nearest Class Center Accuracy: 1.0

Layer 34: ReLU()
Intra Cos: 0.9973807334899902
Inter Cos: -0.14050066471099854
Norm Quadratic Average: 1.5528357028961182
Nearest Class Center Accuracy: 1.0

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4625017642974854
Intra Cos: 0.9963477253913879
Inter Cos: -0.2668353319168091
Norm Quadratic Average: 1.1191819906234741
Nearest Class Center Accuracy: 1.0

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2804672718048096
Intra Cos: 0.9958096742630005
Inter Cos: -0.25540488958358765
Norm Quadratic Average: 2.391420602798462
Nearest Class Center Accuracy: 1.0

Layer 37: ReLU()
Intra Cos: 0.9974875450134277
Inter Cos: -0.1978389471769333
Norm Quadratic Average: 1.6410034894943237
Nearest Class Center Accuracy: 1.0

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.468085765838623
Intra Cos: 0.9969566464424133
Inter Cos: -0.30281227827072144
Norm Quadratic Average: 1.1699790954589844
Nearest Class Center Accuracy: 1.0

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4335949420928955
Intra Cos: 0.996302604675293
Inter Cos: -0.2748596668243408
Norm Quadratic Average: 2.3710408210754395
Nearest Class Center Accuracy: 1.0

Layer 40: ReLU()
Intra Cos: 0.9979427456855774
Inter Cos: -0.1335095912218094
Norm Quadratic Average: 1.787966251373291
Nearest Class Center Accuracy: 1.0

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.7694411277770996
Intra Cos: 0.9959264993667603
Inter Cos: -0.21886660158634186
Norm Quadratic Average: 1.1960622072219849
Nearest Class Center Accuracy: 1.0

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.360201597213745
Intra Cos: 0.9946456551551819
Inter Cos: -0.2321975976228714
Norm Quadratic Average: 3.6089632511138916
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9982477426528931
Inter Cos: -0.12320467829704285
Norm Quadratic Average: 6.793133735656738
Nearest Class Center Accuracy: 1.0

Test Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.902233600616455
Intra Cos: 0.07913838326931
Inter Cos: 0.002330636605620384
Norm Quadratic Average: 4.039686679840088
Nearest Class Center Accuracy: 0.889

Layer 1: ReLU()
Intra Cos: 0.360672265291214
Inter Cos: 0.004090582951903343
Norm Quadratic Average: 7.999065399169922
Nearest Class Center Accuracy: 0.957

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.1348373889923096
Intra Cos: 0.31657278537750244
Inter Cos: 0.06468761712312698
Norm Quadratic Average: 4.60521936416626
Nearest Class Center Accuracy: 0.838

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.719359874725342
Intra Cos: 0.228353813290596
Inter Cos: 0.040139924734830856
Norm Quadratic Average: 3.2053935527801514
Nearest Class Center Accuracy: 0.856

Layer 4: ReLU()
Intra Cos: 0.3644091486930847
Inter Cos: 0.11588002741336823
Norm Quadratic Average: 5.670868873596191
Nearest Class Center Accuracy: 0.81

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.899772882461548
Intra Cos: 0.270932674407959
Inter Cos: 0.01953183487057686
Norm Quadratic Average: 1.2733036279678345
Nearest Class Center Accuracy: 0.963

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.134941577911377
Intra Cos: 0.19006973505020142
Inter Cos: -0.009753317572176456
Norm Quadratic Average: 2.9239883422851562
Nearest Class Center Accuracy: 0.969

Layer 7: ReLU()
Intra Cos: 0.6101642847061157
Inter Cos: 0.010531730949878693
Norm Quadratic Average: 2.4963293075561523
Nearest Class Center Accuracy: 0.962

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.6022751331329346
Intra Cos: 0.5034537315368652
Inter Cos: 0.0856839045882225
Norm Quadratic Average: 1.346474528312683
Nearest Class Center Accuracy: 0.954

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.659839391708374
Intra Cos: 0.4117739796638489
Inter Cos: 0.01754281297326088
Norm Quadratic Average: 2.5466206073760986
Nearest Class Center Accuracy: 0.953

Layer 10: ReLU()
Intra Cos: 0.6952514052391052
Inter Cos: 0.11946861445903778
Norm Quadratic Average: 2.313744068145752
Nearest Class Center Accuracy: 0.948

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.499905586242676
Intra Cos: 0.7084818482398987
Inter Cos: -0.06194981560111046
Norm Quadratic Average: 1.2429697513580322
Nearest Class Center Accuracy: 0.957

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.938791275024414
Intra Cos: 0.6445456147193909
Inter Cos: -0.08755835890769958
Norm Quadratic Average: 2.3646888732910156
Nearest Class Center Accuracy: 0.954

Layer 13: ReLU()
Intra Cos: 0.8358188271522522
Inter Cos: -0.0028658797964453697
Norm Quadratic Average: 2.051820993423462
Nearest Class Center Accuracy: 0.959

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4654617309570312
Intra Cos: 0.8180432319641113
Inter Cos: -0.14223535358905792
Norm Quadratic Average: 1.3205684423446655
Nearest Class Center Accuracy: 0.958

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.5749220848083496
Intra Cos: 0.7982954382896423
Inter Cos: -0.13517536222934723
Norm Quadratic Average: 2.3130815029144287
Nearest Class Center Accuracy: 0.956

Layer 16: ReLU()
Intra Cos: 0.8575741052627563
Inter Cos: -0.0503348670899868
Norm Quadratic Average: 1.8365609645843506
Nearest Class Center Accuracy: 0.958

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4511756896972656
Intra Cos: 0.8473895788192749
Inter Cos: -0.15957194566726685
Norm Quadratic Average: 1.2345579862594604
Nearest Class Center Accuracy: 0.959

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3343472480773926
Intra Cos: 0.8480501174926758
Inter Cos: -0.14507649838924408
Norm Quadratic Average: 2.3246142864227295
Nearest Class Center Accuracy: 0.96

Layer 19: ReLU()
Intra Cos: 0.8719631433486938
Inter Cos: 0.04014777019619942
Norm Quadratic Average: 1.7649354934692383
Nearest Class Center Accuracy: 0.96

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4494738578796387
Intra Cos: 0.8510519862174988
Inter Cos: -0.16555698215961456
Norm Quadratic Average: 1.2150527238845825
Nearest Class Center Accuracy: 0.959

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2079808712005615
Intra Cos: 0.8510020971298218
Inter Cos: -0.16952452063560486
Norm Quadratic Average: 2.329632520675659
Nearest Class Center Accuracy: 0.96

Layer 22: ReLU()
Intra Cos: 0.8678610324859619
Inter Cos: -0.012163479812443256
Norm Quadratic Average: 1.6778311729431152
Nearest Class Center Accuracy: 0.958

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.451035261154175
Intra Cos: 0.8437767028808594
Inter Cos: -0.17828847467899323
Norm Quadratic Average: 1.1644351482391357
Nearest Class Center Accuracy: 0.957

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1493043899536133
Intra Cos: 0.8423002362251282
Inter Cos: -0.19092485308647156
Norm Quadratic Average: 2.330993890762329
Nearest Class Center Accuracy: 0.956

Layer 25: ReLU()
Intra Cos: 0.8583273887634277
Inter Cos: -0.06704561412334442
Norm Quadratic Average: 1.6086444854736328
Nearest Class Center Accuracy: 0.957

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4515626430511475
Intra Cos: 0.8342084288597107
Inter Cos: -0.16851404309272766
Norm Quadratic Average: 1.1223284006118774
Nearest Class Center Accuracy: 0.956

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.120819568634033
Intra Cos: 0.8326658606529236
Inter Cos: -0.1542363315820694
Norm Quadratic Average: 2.33178448677063
Nearest Class Center Accuracy: 0.955

Layer 28: ReLU()
Intra Cos: 0.8507382869720459
Inter Cos: -0.08725225180387497
Norm Quadratic Average: 1.5547066926956177
Nearest Class Center Accuracy: 0.956

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.452249765396118
Intra Cos: 0.8300220370292664
Inter Cos: -0.1976938396692276
Norm Quadratic Average: 1.0872316360473633
Nearest Class Center Accuracy: 0.956

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.112013816833496
Intra Cos: 0.8287392854690552
Inter Cos: -0.16938276588916779
Norm Quadratic Average: 2.3305394649505615
Nearest Class Center Accuracy: 0.955

Layer 31: ReLU()
Intra Cos: 0.8483253121376038
Inter Cos: -0.13927169144153595
Norm Quadratic Average: 1.4964853525161743
Nearest Class Center Accuracy: 0.956

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4565651416778564
Intra Cos: 0.8286319971084595
Inter Cos: -0.21288742125034332
Norm Quadratic Average: 1.0672093629837036
Nearest Class Center Accuracy: 0.956

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.151052236557007
Intra Cos: 0.8266077041625977
Inter Cos: -0.2113667130470276
Norm Quadratic Average: 2.3288214206695557
Nearest Class Center Accuracy: 0.957

Layer 34: ReLU()
Intra Cos: 0.8469515442848206
Inter Cos: -0.10434786975383759
Norm Quadratic Average: 1.5075453519821167
Nearest Class Center Accuracy: 0.957

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.4625017642974854
Intra Cos: 0.8281283974647522
Inter Cos: -0.21151429414749146
Norm Quadratic Average: 1.0866371393203735
Nearest Class Center Accuracy: 0.956

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2804672718048096
Intra Cos: 0.8216789364814758
Inter Cos: -0.21824824810028076
Norm Quadratic Average: 2.328150749206543
Nearest Class Center Accuracy: 0.956

Layer 37: ReLU()
Intra Cos: 0.8305978178977966
Inter Cos: -0.1538010537624359
Norm Quadratic Average: 1.5987013578414917
Nearest Class Center Accuracy: 0.956

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.468085765838623
Intra Cos: 0.8149945139884949
Inter Cos: -0.25005948543548584
Norm Quadratic Average: 1.136643886566162
Nearest Class Center Accuracy: 0.956

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4335949420928955
Intra Cos: 0.8143599629402161
Inter Cos: -0.2222154587507248
Norm Quadratic Average: 2.305779218673706
Nearest Class Center Accuracy: 0.956

Layer 40: ReLU()
Intra Cos: 0.8469491004943848
Inter Cos: -0.11183737218379974
Norm Quadratic Average: 1.7414655685424805
Nearest Class Center Accuracy: 0.956

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 3.7694411277770996
Intra Cos: 0.8328328728675842
Inter Cos: -0.1680520474910736
Norm Quadratic Average: 1.1660099029541016
Nearest Class Center Accuracy: 0.956

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.360201597213745
Intra Cos: 0.8312464356422424
Inter Cos: -0.1845979392528534
Norm Quadratic Average: 3.5292978286743164
Nearest Class Center Accuracy: 0.957

Output Layer:
Intra Cos: 0.8615443706512451
Inter Cos: -0.08874218165874481
Norm Quadratic Average: 6.607791900634766
Nearest Class Center Accuracy: 0.957

