Model save path: ./New_Models/bn_True_dataset_CIFAR10_epochs_100_lr_0.001_model_type_vgg11_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.021450400352478027
Inter Cos: 0.11371058970689774
Norm Quadratic Average: 27.691617965698242
Nearest Class Center Accuracy: 0.279125

Layer 1: Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.02318519540131092
Inter Cos: 0.10028128325939178
Norm Quadratic Average: 33.986534118652344
Nearest Class Center Accuracy: 0.350875

Layer 2: Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.026541149243712425
Inter Cos: 0.0932149812579155
Norm Quadratic Average: 25.14939308166504
Nearest Class Center Accuracy: 0.376625

Layer 3: Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.023037154227495193
Inter Cos: 0.06540165096521378
Norm Quadratic Average: 26.71091651916504
Nearest Class Center Accuracy: 0.411

Layer 4: Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.031282857060432434
Inter Cos: 0.07433797419071198
Norm Quadratic Average: 16.70311164855957
Nearest Class Center Accuracy: 0.44625

Layer 5: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.033065784722566605
Inter Cos: 0.06959822028875351
Norm Quadratic Average: 17.02530288696289
Nearest Class Center Accuracy: 0.52175

Layer 6: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.06170672923326492
Inter Cos: 0.08405177295207977
Norm Quadratic Average: 10.469819068908691
Nearest Class Center Accuracy: 0.764

Layer 7: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.187058687210083
Inter Cos: 0.11021021008491516
Norm Quadratic Average: 7.094480991363525
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=25088, out_features=4096, bias=True)
Linear Weight Norm: 38.80474853515625
Linear Weight Rank: 4031
Intra Cos: 0.641026496887207
Inter Cos: 0.2317044883966446
Norm Quadratic Average: 57.51443099975586
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=4096, out_features=4096, bias=True)
Linear Weight Norm: 15.737017631530762
Linear Weight Rank: 3670
Intra Cos: 0.9054269790649414
Inter Cos: 0.3072054088115692
Norm Quadratic Average: 29.35199737548828
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=4096, out_features=10, bias=True)
Linear Weight Norm: 1.67574143409729
Linear Weight Rank: 10
Intra Cos: 0.938825786113739
Inter Cos: 0.3438444137573242
Norm Quadratic Average: 18.84893226623535
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9406259059906006
Inter Cos: 0.3999474048614502
Norm Quadratic Average: 12.385910034179688
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.4197628364562989
Accuracy: 0.5985
NC1 Within Class Collapse: nan
NC2 Equinorm: Features: 0.19813725352287292, Weights: 0.0256500206887722
NC2 Equiangle: Features: 0.35659349229600695, Weights: 0.15506370332505967
NC3 Self-Duality: 0.33642134070396423
NC4 NCC Mismatch: 0.125

Layer 0: Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.018480457365512848
Inter Cos: 0.09352368116378784
Norm Quadratic Average: 27.530664443969727
Nearest Class Center Accuracy: 0.2895

Layer 1: Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.022422252222895622
Inter Cos: 0.08832450211048126
Norm Quadratic Average: 33.831947326660156
Nearest Class Center Accuracy: 0.3705

Layer 2: Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.026189880445599556
Inter Cos: 0.08250980824232101
Norm Quadratic Average: 25.02013397216797
Nearest Class Center Accuracy: 0.4

Layer 3: Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.022125303745269775
Inter Cos: 0.05774196982383728
Norm Quadratic Average: 26.61669158935547
Nearest Class Center Accuracy: 0.449

Layer 4: Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.02752419002354145
Inter Cos: 0.06577122956514359
Norm Quadratic Average: 16.640422821044922
Nearest Class Center Accuracy: 0.4635

Layer 5: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.027414800599217415
Inter Cos: 0.060900334268808365
Norm Quadratic Average: 16.983613967895508
Nearest Class Center Accuracy: 0.5115

Layer 6: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.035651080310344696
Inter Cos: 0.07593649625778198
Norm Quadratic Average: 10.429667472839355
Nearest Class Center Accuracy: 0.5595

Layer 7: Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
Intra Cos: 0.060758788138628006
Inter Cos: 0.11893942207098007
Norm Quadratic Average: 6.921365737915039
Nearest Class Center Accuracy: 0.635

Layer 8: Linear(in_features=25088, out_features=4096, bias=True)
Linear Weight Norm: 38.80474853515625
Linear Weight Rank: 4031
Intra Cos: 0.17277224361896515
Inter Cos: 0.2548426687717438
Norm Quadratic Average: 50.44522476196289
Nearest Class Center Accuracy: 0.6155

Layer 9: Linear(in_features=4096, out_features=4096, bias=True)
Linear Weight Norm: 15.737017631530762
Linear Weight Rank: 3670
Intra Cos: 0.27050694823265076
Inter Cos: 0.36480405926704407
Norm Quadratic Average: 23.946468353271484
Nearest Class Center Accuracy: 0.601

Layer 10: Linear(in_features=4096, out_features=10, bias=True)
Linear Weight Norm: 1.67574143409729
Linear Weight Rank: 10
Intra Cos: 0.2811940312385559
Inter Cos: 0.39240166544914246
Norm Quadratic Average: 15.229194641113281
Nearest Class Center Accuracy: 0.5895

Output Layer:
Intra Cos: 0.2743326723575592
Inter Cos: 0.4106633961200714
Norm Quadratic Average: 9.869219779968262
Nearest Class Center Accuracy: 0.5855

