vgg16
Find this model in the VGG model summary
vgg16 Model Summary Plots
vgg16 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
2.72
0.11
2.34
0.86
81.92
10
0
0
4
CONV2D
64
64
1.00
2.78
0.07
0.98
0.35
72.97
4
0
4
7
CONV2D
128
64
2.00
1.85
0.08
0.76
0.41
73.39
8
1
0
9
CONV2D
128
128
1.00
1.99
0.10
0.05
0.03
82.47
7
1
7
12
CONV2D
256
128
2.00
2.53
0.09
0.71
0.28
80.19
24
2
0
14
CONV2D
256
256
1.00
2.30
0.09
0.48
0.21
82.01
9
8
10
16
CONV2D
256
256
1.00
3.33
0.06
1.04
0.31
84.44
14
0
12
19
CONV2D
512
256
2.00
3.51
0.06
1.12
0.32
80.89
20
0
0
21
CONV2D
512
512
1.00
3.19
0.03
1.43
0.45
83.52
13
0
16
23
CONV2D
512
512
1.00
3.27
0.03
1.64
0.50
85.75
12
0
17
26
CONV2D
512
512
1.00
3.31
0.07
0.68
0.20
85.66
12
1
13
28
CONV2D
512
512
1.00
3.49
0.04
1.35
0.38
87.00
10
0
17
30
CONV2D
512
512
1.00
3.55
0.05
1.70
0.48
86.79
9
0
15
35
DENSE
25088
4096
6.12
2.29
0.03
3.41
1.49
69.09
1
0
0
38
DENSE
4096
4096
1.00
2.18
0.03
3.70
1.70
71.23
1
0
6
41
DENSE
4096
1000
4.10
2.86
0.03
4.97
1.73
70.51
0
0
0
vgg16 Layer Plots
Layer 2
Layer=2 | N=64 | M=3 | Q=21.33 | alpha=2.72 | D_ks=0.11 | alpha-hat=2.34 | num traps=10
Layer 4
Layer=4 | N=64 | M=64 | Q=1.00 | alpha=2.78 | D_ks=0.07 | alpha-hat=0.98 | num traps=4
Layer 7
Layer=7 | N=128 | M=64 | Q=2.00 | alpha=1.85 | D_ks=0.08 | alpha-hat=0.76 | num traps=8
Layer 9
Layer=9 | N=128 | M=128 | Q=1.00 | alpha=1.99 | D_ks=0.10 | alpha-hat=0.05 | num traps=7
Layer 12
Layer=12 | N=256 | M=128 | Q=2.00 | alpha=2.53 | D_ks=0.09 | alpha-hat=0.71 | num traps=24
Layer 14
Layer=14 | N=256 | M=256 | Q=1.00 | alpha=2.30 | D_ks=0.09 | alpha-hat=0.48 | num traps=9
Layer 16
Layer=16 | N=256 | M=256 | Q=1.00 | alpha=3.33 | D_ks=0.06 | alpha-hat=1.04 | num traps=14
Layer 19
Layer=19 | N=512 | M=256 | Q=2.00 | alpha=3.51 | D_ks=0.06 | alpha-hat=1.12 | num traps=20
Layer 21
Layer=21 | N=512 | M=512 | Q=1.00 | alpha=3.19 | D_ks=0.03 | alpha-hat=1.43 | num traps=13
Layer 23
Layer=23 | N=512 | M=512 | Q=1.00 | alpha=3.27 | D_ks=0.03 | alpha-hat=1.64 | num traps=12
Layer 26
Layer=26 | N=512 | M=512 | Q=1.00 | alpha=3.31 | D_ks=0.07 | alpha-hat=0.68 | num traps=12
Layer 28
Layer=28 | N=512 | M=512 | Q=1.00 | alpha=3.49 | D_ks=0.04 | alpha-hat=1.35 | num traps=10
Layer 30
Layer=30 | N=512 | M=512 | Q=1.00 | alpha=3.55 | D_ks=0.05 | alpha-hat=1.70 | num traps=9
Layer 35
Layer=35 | N=25088 | M=4096 | Q=6.12 | alpha=2.29 | D_ks=0.03 | alpha-hat=3.41 | num traps=1
Layer 38
Layer=38 | N=4096 | M=4096 | Q=1.00 | alpha=2.18 | D_ks=0.03 | alpha-hat=3.70 | num traps=1
Layer 41
Layer=41 | N=4096 | M=1000 | Q=4.10 | alpha=2.86 | D_ks=0.03 | alpha-hat=4.97 | num traps=0
vgg16 Model Summary Plots
vgg16 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 | 2.72 | 0.11 | 2.34 | 0.86 | 81.92 | 10 | 0 | 0 |
| 4 | CONV2D | 64 | 64 | 1.00 | 2.78 | 0.07 | 0.98 | 0.35 | 72.97 | 4 | 0 | 4 |
| 7 | CONV2D | 128 | 64 | 2.00 | 1.85 | 0.08 | 0.76 | 0.41 | 73.39 | 8 | 1 | 0 |
| 9 | CONV2D | 128 | 128 | 1.00 | 1.99 | 0.10 | 0.05 | 0.03 | 82.47 | 7 | 1 | 7 |
| 12 | CONV2D | 256 | 128 | 2.00 | 2.53 | 0.09 | 0.71 | 0.28 | 80.19 | 24 | 2 | 0 |
| 14 | CONV2D | 256 | 256 | 1.00 | 2.30 | 0.09 | 0.48 | 0.21 | 82.01 | 9 | 8 | 10 |
| 16 | CONV2D | 256 | 256 | 1.00 | 3.33 | 0.06 | 1.04 | 0.31 | 84.44 | 14 | 0 | 12 |
| 19 | CONV2D | 512 | 256 | 2.00 | 3.51 | 0.06 | 1.12 | 0.32 | 80.89 | 20 | 0 | 0 |
| 21 | CONV2D | 512 | 512 | 1.00 | 3.19 | 0.03 | 1.43 | 0.45 | 83.52 | 13 | 0 | 16 |
| 23 | CONV2D | 512 | 512 | 1.00 | 3.27 | 0.03 | 1.64 | 0.50 | 85.75 | 12 | 0 | 17 |
| 26 | CONV2D | 512 | 512 | 1.00 | 3.31 | 0.07 | 0.68 | 0.20 | 85.66 | 12 | 1 | 13 |
| 28 | CONV2D | 512 | 512 | 1.00 | 3.49 | 0.04 | 1.35 | 0.38 | 87.00 | 10 | 0 | 17 |
| 30 | CONV2D | 512 | 512 | 1.00 | 3.55 | 0.05 | 1.70 | 0.48 | 86.79 | 9 | 0 | 15 |
| 35 | DENSE | 25088 | 4096 | 6.12 | 2.29 | 0.03 | 3.41 | 1.49 | 69.09 | 1 | 0 | 0 |
| 38 | DENSE | 4096 | 4096 | 1.00 | 2.18 | 0.03 | 3.70 | 1.70 | 71.23 | 1 | 0 | 6 |
| 41 | DENSE | 4096 | 1000 | 4.10 | 2.86 | 0.03 | 4.97 | 1.73 | 70.51 | 0 | 0 | 0 |
vgg16 Layer Plots
Layer 2
Layer=2 | N=64 | M=3 | Q=21.33 | alpha=2.72 | D_ks=0.11 | alpha-hat=2.34 | num traps=10
Layer 4
Layer=4 | N=64 | M=64 | Q=1.00 | alpha=2.78 | D_ks=0.07 | alpha-hat=0.98 | num traps=4
Layer 7
Layer=7 | N=128 | M=64 | Q=2.00 | alpha=1.85 | D_ks=0.08 | alpha-hat=0.76 | num traps=8
Layer 9
Layer=9 | N=128 | M=128 | Q=1.00 | alpha=1.99 | D_ks=0.10 | alpha-hat=0.05 | num traps=7
Layer 12
Layer=12 | N=256 | M=128 | Q=2.00 | alpha=2.53 | D_ks=0.09 | alpha-hat=0.71 | num traps=24
Layer 14
Layer=14 | N=256 | M=256 | Q=1.00 | alpha=2.30 | D_ks=0.09 | alpha-hat=0.48 | num traps=9
Layer 16
Layer=16 | N=256 | M=256 | Q=1.00 | alpha=3.33 | D_ks=0.06 | alpha-hat=1.04 | num traps=14
Layer 19
Layer=19 | N=512 | M=256 | Q=2.00 | alpha=3.51 | D_ks=0.06 | alpha-hat=1.12 | num traps=20
Layer 21
Layer=21 | N=512 | M=512 | Q=1.00 | alpha=3.19 | D_ks=0.03 | alpha-hat=1.43 | num traps=13
Layer 23
Layer=23 | N=512 | M=512 | Q=1.00 | alpha=3.27 | D_ks=0.03 | alpha-hat=1.64 | num traps=12
Layer 26
Layer=26 | N=512 | M=512 | Q=1.00 | alpha=3.31 | D_ks=0.07 | alpha-hat=0.68 | num traps=12
Layer 28
Layer=28 | N=512 | M=512 | Q=1.00 | alpha=3.49 | D_ks=0.04 | alpha-hat=1.35 | num traps=10
Layer 30
Layer=30 | N=512 | M=512 | Q=1.00 | alpha=3.55 | D_ks=0.05 | alpha-hat=1.70 | num traps=9
Layer 35
Layer=35 | N=25088 | M=4096 | Q=6.12 | alpha=2.29 | D_ks=0.03 | alpha-hat=3.41 | num traps=1
Layer 38
Layer=38 | N=4096 | M=4096 | Q=1.00 | alpha=2.18 | D_ks=0.03 | alpha-hat=3.70 | num traps=1
Layer 41
Layer=41 | N=4096 | M=1000 | Q=4.10 | alpha=2.86 | D_ks=0.03 | alpha-hat=4.97 | num traps=0