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: 3.758242607116699
Intra Cos: 0.07925508916378021
Inter Cos: 0.0030592717230319977
Norm Quadratic Average: 3.9833998680114746
Nearest Class Center Accuracy: 0.93875

Layer 1: ReLU()
Intra Cos: 0.42122629284858704
Inter Cos: 0.07634204626083374
Norm Quadratic Average: 3.7209198474884033
Nearest Class Center Accuracy: 0.809

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.3470641374588013
Intra Cos: 0.3257628083229065
Inter Cos: 0.32508423924446106
Norm Quadratic Average: 2.286743402481079
Nearest Class Center Accuracy: 0.738

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9827076196670532
Intra Cos: 0.29564839601516724
Inter Cos: 0.3296147584915161
Norm Quadratic Average: 1.3591628074645996
Nearest Class Center Accuracy: 0.7455

Layer 4: ReLU()
Intra Cos: 0.3088652491569519
Inter Cos: 0.4552290439605713
Norm Quadratic Average: 1.4990686178207397
Nearest Class Center Accuracy: 0.70025

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.2337498664855957
Intra Cos: 0.3787170350551605
Inter Cos: 0.1926717460155487
Norm Quadratic Average: 0.7975099086761475
Nearest Class Center Accuracy: 0.75825

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4125736951828003
Intra Cos: 0.5448432564735413
Inter Cos: 0.21198301017284393
Norm Quadratic Average: 1.035366415977478
Nearest Class Center Accuracy: 0.85175

Layer 7: ReLU()
Intra Cos: 0.5324767231941223
Inter Cos: 0.4052930772304535
Norm Quadratic Average: 0.8055348992347717
Nearest Class Center Accuracy: 0.85325

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.8008973002433777
Intra Cos: 0.6671980023384094
Inter Cos: 0.1920725256204605
Norm Quadratic Average: 0.40119701623916626
Nearest Class Center Accuracy: 0.90625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7871894836425781
Intra Cos: 0.738815188407898
Inter Cos: 0.21600492298603058
Norm Quadratic Average: 0.7788016200065613
Nearest Class Center Accuracy: 0.91675

Layer 10: ReLU()
Intra Cos: 0.6880988478660583
Inter Cos: 0.4486110210418701
Norm Quadratic Average: 0.8317466974258423
Nearest Class Center Accuracy: 0.915

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.850504994392395
Intra Cos: 0.5755234360694885
Inter Cos: 0.14335694909095764
Norm Quadratic Average: 0.4582485258579254
Nearest Class Center Accuracy: 0.9285

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2580838203430176
Intra Cos: 0.8021456003189087
Inter Cos: 0.12174896895885468
Norm Quadratic Average: 0.7296776175498962
Nearest Class Center Accuracy: 0.94

Layer 13: ReLU()
Intra Cos: 0.6596395373344421
Inter Cos: 0.21274816989898682
Norm Quadratic Average: 0.5088546872138977
Nearest Class Center Accuracy: 0.9275

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.47201716899871826
Intra Cos: 0.8802202939987183
Inter Cos: 0.7343571782112122
Norm Quadratic Average: 0.18698588013648987
Nearest Class Center Accuracy: 0.9895

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5774480700492859
Intra Cos: 0.7202344536781311
Inter Cos: 0.5215690732002258
Norm Quadratic Average: 0.4159221947193146
Nearest Class Center Accuracy: 0.99125

Layer 16: ReLU()
Intra Cos: 0.7333178520202637
Inter Cos: 0.8112926483154297
Norm Quadratic Average: 0.13016606867313385
Nearest Class Center Accuracy: 0.98775

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.2204737812280655
Intra Cos: 0.7402889132499695
Inter Cos: 0.7973114252090454
Norm Quadratic Average: 0.12119311839342117
Nearest Class Center Accuracy: 0.98975

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3739705979824066
Intra Cos: 0.783089816570282
Inter Cos: 0.8908193111419678
Norm Quadratic Average: 0.20296335220336914
Nearest Class Center Accuracy: 0.9895

Layer 19: ReLU()
Intra Cos: 0.8031125664710999
Inter Cos: 0.9264026880264282
Norm Quadratic Average: 0.05422216281294823
Nearest Class Center Accuracy: 0.9885

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.48811769485473633
Intra Cos: 0.8043129444122314
Inter Cos: 0.926410973072052
Norm Quadratic Average: 0.05403848737478256
Nearest Class Center Accuracy: 0.9885

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5367081165313721
Intra Cos: 0.7840561270713806
Inter Cos: 0.9106869697570801
Norm Quadratic Average: 0.4429408311843872
Nearest Class Center Accuracy: 0.9885

Layer 22: ReLU()
Intra Cos: 0.7052812576293945
Inter Cos: 0.9355690479278564
Norm Quadratic Average: 0.1596546173095703
Nearest Class Center Accuracy: 0.98425

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.39729541540145874
Intra Cos: 0.8152998685836792
Inter Cos: 0.8995211720466614
Norm Quadratic Average: 0.12696082890033722
Nearest Class Center Accuracy: 0.9865

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5842663645744324
Intra Cos: 0.7390732169151306
Inter Cos: 0.4352538585662842
Norm Quadratic Average: 0.3580118417739868
Nearest Class Center Accuracy: 0.986

Layer 25: ReLU()
Intra Cos: 0.7314233779907227
Inter Cos: 0.6667011976242065
Norm Quadratic Average: 0.1325116604566574
Nearest Class Center Accuracy: 0.9785

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.317706823348999
Intra Cos: 0.7526497840881348
Inter Cos: 0.6996991634368896
Norm Quadratic Average: 0.11485126614570618
Nearest Class Center Accuracy: 0.98575

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4645429849624634
Intra Cos: 0.7858120203018188
Inter Cos: 0.7145598530769348
Norm Quadratic Average: 0.2760733664035797
Nearest Class Center Accuracy: 0.98675

Layer 28: ReLU()
Intra Cos: 0.7766835689544678
Inter Cos: 0.6904011964797974
Norm Quadratic Average: 0.08204084634780884
Nearest Class Center Accuracy: 0.98625

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.0292491912841797
Intra Cos: 0.7791709303855896
Inter Cos: 0.6903301477432251
Norm Quadratic Average: 0.080598846077919
Nearest Class Center Accuracy: 0.9865

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9620043635368347
Intra Cos: 0.8067219853401184
Inter Cos: 0.571772575378418
Norm Quadratic Average: 0.784086287021637
Nearest Class Center Accuracy: 0.988

Layer 31: ReLU()
Intra Cos: 0.8654282689094543
Inter Cos: 0.8694979548454285
Norm Quadratic Average: 0.5057356357574463
Nearest Class Center Accuracy: 0.98825

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5471586585044861
Intra Cos: 0.8673603534698486
Inter Cos: 0.8626977801322937
Norm Quadratic Average: 0.45826536417007446
Nearest Class Center Accuracy: 0.98575

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6991250514984131
Intra Cos: 0.7642861604690552
Inter Cos: 0.3172420263290405
Norm Quadratic Average: 0.48675185441970825
Nearest Class Center Accuracy: 0.987

Layer 34: ReLU()
Intra Cos: 0.9235923290252686
Inter Cos: 0.38113343715667725
Norm Quadratic Average: 0.21521112322807312
Nearest Class Center Accuracy: 0.99375

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.3969722390174866
Intra Cos: 0.951941728591919
Inter Cos: 0.2261946201324463
Norm Quadratic Average: 0.17811018228530884
Nearest Class Center Accuracy: 0.99875

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6048222184181213
Intra Cos: 0.9257466197013855
Inter Cos: 0.17753612995147705
Norm Quadratic Average: 0.356770396232605
Nearest Class Center Accuracy: 0.9995

Layer 37: ReLU()
Intra Cos: 0.9444918632507324
Inter Cos: 0.2778310775756836
Norm Quadratic Average: 0.13317722082138062
Nearest Class Center Accuracy: 0.99975

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5244656801223755
Intra Cos: 0.9466637372970581
Inter Cos: 0.33283326029777527
Norm Quadratic Average: 0.12593507766723633
Nearest Class Center Accuracy: 0.999

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6709285974502563
Intra Cos: 0.9470674395561218
Inter Cos: 0.28855419158935547
Norm Quadratic Average: 0.4636232256889343
Nearest Class Center Accuracy: 0.9995

Layer 40: ReLU()
Intra Cos: 0.9492862224578857
Inter Cos: 0.3762916028499603
Norm Quadratic Average: 0.2161545753479004
Nearest Class Center Accuracy: 0.9995

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.9964165687561035
Intra Cos: 0.9732112884521484
Inter Cos: 0.1871880143880844
Norm Quadratic Average: 0.18086284399032593
Nearest Class Center Accuracy: 0.99975

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.006056070327759
Intra Cos: 0.979964017868042
Inter Cos: 0.08538702875375748
Norm Quadratic Average: 2.919224739074707
Nearest Class Center Accuracy: 0.99975

Output Layer:
Intra Cos: 0.9892612099647522
Inter Cos: 0.08618512749671936
Norm Quadratic Average: 6.121436595916748
Nearest Class Center Accuracy: 0.99975

Test Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.758242607116699
Intra Cos: 0.07913838326931
Inter Cos: 0.002330636605620384
Norm Quadratic Average: 4.039686679840088
Nearest Class Center Accuracy: 0.889

Layer 1: ReLU()
Intra Cos: 0.39845672249794006
Inter Cos: 0.054689157754182816
Norm Quadratic Average: 3.8604140281677246
Nearest Class Center Accuracy: 0.781

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.3470641374588013
Intra Cos: 0.3009874224662781
Inter Cos: 0.3246347904205322
Norm Quadratic Average: 2.375916004180908
Nearest Class Center Accuracy: 0.709

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9827076196670532
Intra Cos: 0.27338460087776184
Inter Cos: 0.3428432047367096
Norm Quadratic Average: 1.4061692953109741
Nearest Class Center Accuracy: 0.73

Layer 4: ReLU()
Intra Cos: 0.3125495910644531
Inter Cos: 0.45838746428489685
Norm Quadratic Average: 1.5720707178115845
Nearest Class Center Accuracy: 0.686

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.2337498664855957
Intra Cos: 0.3209073543548584
Inter Cos: 0.1721823364496231
Norm Quadratic Average: 0.8102853298187256
Nearest Class Center Accuracy: 0.74

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4125736951828003
Intra Cos: 0.522151529788971
Inter Cos: 0.21871377527713776
Norm Quadratic Average: 1.0572518110275269
Nearest Class Center Accuracy: 0.842

Layer 7: ReLU()
Intra Cos: 0.5221865177154541
Inter Cos: 0.4507671296596527
Norm Quadratic Average: 0.8205841183662415
Nearest Class Center Accuracy: 0.841

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.8008973002433777
Intra Cos: 0.6806075572967529
Inter Cos: 0.20179331302642822
Norm Quadratic Average: 0.3985258936882019
Nearest Class Center Accuracy: 0.901

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7871894836425781
Intra Cos: 0.745151937007904
Inter Cos: 0.2293776422739029
Norm Quadratic Average: 0.7759026288986206
Nearest Class Center Accuracy: 0.909

Layer 10: ReLU()
Intra Cos: 0.6636347770690918
Inter Cos: 0.43797576427459717
Norm Quadratic Average: 0.8341788649559021
Nearest Class Center Accuracy: 0.9

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.850504994392395
Intra Cos: 0.5660517811775208
Inter Cos: 0.15699800848960876
Norm Quadratic Average: 0.4585702121257782
Nearest Class Center Accuracy: 0.915

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2580838203430176
Intra Cos: 0.7677050232887268
Inter Cos: 0.12386990338563919
Norm Quadratic Average: 0.7253028750419617
Nearest Class Center Accuracy: 0.928

Layer 13: ReLU()
Intra Cos: 0.690169632434845
Inter Cos: 0.1923733800649643
Norm Quadratic Average: 0.5003401041030884
Nearest Class Center Accuracy: 0.918

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.47201716899871826
Intra Cos: 0.8314849138259888
Inter Cos: 0.7077208757400513
Norm Quadratic Average: 0.18557299673557281
Nearest Class Center Accuracy: 0.974

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5774480700492859
Intra Cos: 0.7159287929534912
Inter Cos: 0.4866066873073578
Norm Quadratic Average: 0.395998477935791
Nearest Class Center Accuracy: 0.971

Layer 16: ReLU()
Intra Cos: 0.7233685851097107
Inter Cos: 0.7704015970230103
Norm Quadratic Average: 0.12383493036031723
Nearest Class Center Accuracy: 0.977

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.2204737812280655
Intra Cos: 0.7279767990112305
Inter Cos: 0.7579906582832336
Norm Quadratic Average: 0.11674532294273376
Nearest Class Center Accuracy: 0.978

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3739705979824066
Intra Cos: 0.7560124397277832
Inter Cos: 0.8597577214241028
Norm Quadratic Average: 0.19473548233509064
Nearest Class Center Accuracy: 0.977

Layer 19: ReLU()
Intra Cos: 0.7683584094047546
Inter Cos: 0.8979870676994324
Norm Quadratic Average: 0.05201658606529236
Nearest Class Center Accuracy: 0.977

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.48811769485473633
Intra Cos: 0.7693602442741394
Inter Cos: 0.8979647159576416
Norm Quadratic Average: 0.051853880286216736
Nearest Class Center Accuracy: 0.977

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5367081165313721
Intra Cos: 0.7546667456626892
Inter Cos: 0.8798403739929199
Norm Quadratic Average: 0.42578259110450745
Nearest Class Center Accuracy: 0.977

Layer 22: ReLU()
Intra Cos: 0.6809260249137878
Inter Cos: 0.9092977643013
Norm Quadratic Average: 0.15392421185970306
Nearest Class Center Accuracy: 0.973

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.39729541540145874
Intra Cos: 0.7734995484352112
Inter Cos: 0.8713480234146118
Norm Quadratic Average: 0.12197159975767136
Nearest Class Center Accuracy: 0.975

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5842663645744324
Intra Cos: 0.7134495377540588
Inter Cos: 0.3886473476886749
Norm Quadratic Average: 0.35352763533592224
Nearest Class Center Accuracy: 0.974

Layer 25: ReLU()
Intra Cos: 0.7032641768455505
Inter Cos: 0.6101932525634766
Norm Quadratic Average: 0.1325293332338333
Nearest Class Center Accuracy: 0.946

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.317706823348999
Intra Cos: 0.720727801322937
Inter Cos: 0.6485432386398315
Norm Quadratic Average: 0.11423628032207489
Nearest Class Center Accuracy: 0.972

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4645429849624634
Intra Cos: 0.7495210766792297
Inter Cos: 0.664713978767395
Norm Quadratic Average: 0.2739187180995941
Nearest Class Center Accuracy: 0.973

Layer 28: ReLU()
Intra Cos: 0.7432448267936707
Inter Cos: 0.6378568410873413
Norm Quadratic Average: 0.08167663216590881
Nearest Class Center Accuracy: 0.973

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.0292491912841797
Intra Cos: 0.7453095316886902
Inter Cos: 0.6379151344299316
Norm Quadratic Average: 0.08022717386484146
Nearest Class Center Accuracy: 0.973

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9620043635368347
Intra Cos: 0.7775267958641052
Inter Cos: 0.519582211971283
Norm Quadratic Average: 0.7788090109825134
Nearest Class Center Accuracy: 0.974

Layer 31: ReLU()
Intra Cos: 0.8157278299331665
Inter Cos: 0.8343905806541443
Norm Quadratic Average: 0.4936518669128418
Nearest Class Center Accuracy: 0.975

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5471586585044861
Intra Cos: 0.8164998292922974
Inter Cos: 0.8301643133163452
Norm Quadratic Average: 0.4442478120326996
Nearest Class Center Accuracy: 0.972

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6991250514984131
Intra Cos: 0.7373479604721069
Inter Cos: 0.2555326819419861
Norm Quadratic Average: 0.48258888721466064
Nearest Class Center Accuracy: 0.971

Layer 34: ReLU()
Intra Cos: 0.888383150100708
Inter Cos: 0.3224118947982788
Norm Quadratic Average: 0.21107670664787292
Nearest Class Center Accuracy: 0.975

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.3969722390174866
Intra Cos: 0.9205349087715149
Inter Cos: 0.2231474071741104
Norm Quadratic Average: 0.17791879177093506
Nearest Class Center Accuracy: 0.975

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6048222184181213
Intra Cos: 0.8989651799201965
Inter Cos: 0.18274642527103424
Norm Quadratic Average: 0.35528260469436646
Nearest Class Center Accuracy: 0.976

Layer 37: ReLU()
Intra Cos: 0.9252268075942993
Inter Cos: 0.2785864472389221
Norm Quadratic Average: 0.1341748684644699
Nearest Class Center Accuracy: 0.975

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5244656801223755
Intra Cos: 0.9277170300483704
Inter Cos: 0.3295964002609253
Norm Quadratic Average: 0.12641938030719757
Nearest Class Center Accuracy: 0.976

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6709285974502563
Intra Cos: 0.9063587188720703
Inter Cos: 0.28425636887550354
Norm Quadratic Average: 0.4696322977542877
Nearest Class Center Accuracy: 0.978

Layer 40: ReLU()
Intra Cos: 0.907145082950592
Inter Cos: 0.36906376481056213
Norm Quadratic Average: 0.21929940581321716
Nearest Class Center Accuracy: 0.976

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.9964165687561035
Intra Cos: 0.9346740245819092
Inter Cos: 0.16680505871772766
Norm Quadratic Average: 0.17999950051307678
Nearest Class Center Accuracy: 0.982

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.006056070327759
Intra Cos: 0.9429630637168884
Inter Cos: 0.06462205946445465
Norm Quadratic Average: 2.896242618560791
Nearest Class Center Accuracy: 0.982

Output Layer:
Intra Cos: 0.9518728852272034
Inter Cos: 0.06528227031230927
Norm Quadratic Average: 6.077225685119629
Nearest Class Center Accuracy: 0.983

