vgg19


Find this model in the VGG model summary
vgg19 Model Summary Plots





vgg19 Model Selected Details
  layer_type N M Q alpha D alpha-hat log_SN % Rand num_traps num_fingers rank_loss
layer_id                        
2 CONV2D 64 3 21.33 2.69 0.14 2.16 0.80 82.00 6 0 0
4 CONV2D 64 64 1.00 1.52 0.11 0.42 0.27 73.59 6 1 4
7 CONV2D 128 64 2.00 1.89 0.08 0.81 0.43 74.82 8 1 0
9 CONV2D 128 128 1.00 1.92 0.10 0.09 0.05 83.06 5 0 5
12 CONV2D 256 128 2.00 3.89 0.06 1.28 0.33 81.35 25 0 0
14 CONV2D 256 256 1.00 3.23 0.07 0.27 0.08 82.24 13 0 12
16 CONV2D 256 256 1.00 2.99 0.07 0.45 0.15 82.70 10 0 11
18 CONV2D 256 256 1.00 3.74 0.04 1.16 0.31 85.04 14 0 12
21 CONV2D 512 256 2.00 3.69 0.07 0.66 0.18 80.97 16 0 0
23 CONV2D 512 512 1.00 3.40 0.04 0.81 0.24 83.99 12 0 16
25 CONV2D 512 512 1.00 3.49 0.03 1.14 0.33 84.37 11 0 18
27 CONV2D 512 512 1.00 3.37 0.03 1.40 0.42 85.93 10 0 16
30 CONV2D 512 512 1.00 3.75 0.05 0.33 0.09 85.07 10 0 18
32 CONV2D 512 512 1.00 3.66 0.03 0.50 0.14 86.70 9 0 16
34 CONV2D 512 512 1.00 3.51 0.04 0.84 0.24 86.79 9 0 17
36 CONV2D 512 512 1.00 3.82 0.06 1.32 0.34 87.41 9 0 15
41 DENSE 25088 4096 6.12 2.26 0.03 3.22 1.42 68.41 1 0 0
44 DENSE 4096 4096 1.00 2.18 0.03 3.58 1.64 71.05 1 0 6
47 DENSE 4096 1000 4.10 2.08 0.03 3.58 1.72 70.15 0 0 0

vgg19 Layer Plots
Layer 2
   Layer=2  |  N=64  |  M=3  |  Q=21.33  |  alpha=2.69  |  D_ks=0.14  |  alpha-hat=2.16  |  num traps=6









Layer 4
   Layer=4  |  N=64  |  M=64  |  Q=1.00  |  alpha=1.52  |  D_ks=0.11  |  alpha-hat=0.42  |  num traps=6









Layer 7
   Layer=7  |  N=128  |  M=64  |  Q=2.00  |  alpha=1.89  |  D_ks=0.08  |  alpha-hat=0.81  |  num traps=8









Layer 9
   Layer=9  |  N=128  |  M=128  |  Q=1.00  |  alpha=1.92  |  D_ks=0.10  |  alpha-hat=0.09  |  num traps=5









Layer 12
   Layer=12  |  N=256  |  M=128  |  Q=2.00  |  alpha=3.89  |  D_ks=0.06  |  alpha-hat=1.28  |  num traps=25









Layer 14
   Layer=14  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.23  |  D_ks=0.07  |  alpha-hat=0.27  |  num traps=13









Layer 16
   Layer=16  |  N=256  |  M=256  |  Q=1.00  |  alpha=2.99  |  D_ks=0.07  |  alpha-hat=0.45  |  num traps=10









Layer 18
   Layer=18  |  N=256  |  M=256  |  Q=1.00  |  alpha=3.74  |  D_ks=0.04  |  alpha-hat=1.16  |  num traps=14









Layer 21
   Layer=21  |  N=512  |  M=256  |  Q=2.00  |  alpha=3.69  |  D_ks=0.07  |  alpha-hat=0.66  |  num traps=16









Layer 23
   Layer=23  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.40  |  D_ks=0.04  |  alpha-hat=0.81  |  num traps=12









Layer 25
   Layer=25  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.49  |  D_ks=0.03  |  alpha-hat=1.14  |  num traps=11









Layer 27
   Layer=27  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.37  |  D_ks=0.03  |  alpha-hat=1.40  |  num traps=10









Layer 30
   Layer=30  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.75  |  D_ks=0.05  |  alpha-hat=0.33  |  num traps=10









Layer 32
   Layer=32  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.66  |  D_ks=0.03  |  alpha-hat=0.50  |  num traps=9









Layer 34
   Layer=34  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.51  |  D_ks=0.04  |  alpha-hat=0.84  |  num traps=9









Layer 36
   Layer=36  |  N=512  |  M=512  |  Q=1.00  |  alpha=3.82  |  D_ks=0.06  |  alpha-hat=1.32  |  num traps=9









Layer 41
   Layer=41  |  N=25088  |  M=4096  |  Q=6.12  |  alpha=2.26  |  D_ks=0.03  |  alpha-hat=3.22  |  num traps=1









Layer 44
   Layer=44  |  N=4096  |  M=4096  |  Q=1.00  |  alpha=2.18  |  D_ks=0.03  |  alpha-hat=3.58  |  num traps=1









Layer 47
   Layer=47  |  N=4096  |  M=1000  |  Q=4.10  |  alpha=2.08  |  D_ks=0.03  |  alpha-hat=3.58  |  num traps=0