vgg13
Find this model in the VGG model summary
vgg13 Model Summary Plots
vgg13 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
1.84
0.16
1.50
0.82
80.00
7
0
0
4
CONV2D
64
64
1.00
1.54
0.11
0.40
0.26
73.49
1
0
7
7
CONV2D
128
64
2.00
1.83
0.07
0.81
0.44
73.17
4
0
0
9
CONV2D
128
128
1.00
1.96
0.10
0.33
0.17
83.51
1
1
4
12
CONV2D
256
128
2.00
2.81
0.07
1.24
0.44
80.45
14
0
0
14
CONV2D
256
256
1.00
3.24
0.06
1.36
0.42
83.49
10
0
7
17
CONV2D
512
256
2.00
2.95
0.06
1.38
0.47
80.38
13
0
0
19
CONV2D
512
512
1.00
3.04
0.04
2.00
0.66
85.15
11
0
13
22
CONV2D
512
512
1.00
3.84
0.04
1.93
0.50
85.09
16
0
13
24
CONV2D
512
512
1.00
3.38
0.03
2.49
0.74
86.13
11
0
16
29
DENSE
25088
4096
6.12
2.33
0.03
3.63
1.56
70.19
1
0
0
32
DENSE
4096
4096
1.00
2.18
0.03
3.88
1.78
71.50
1
0
7
35
DENSE
4096
1000
4.10
2.74
0.03
4.83
1.76
70.91
0
0
0
vgg13 Layer Plots
Layer 2
Layer=2 | N=64 | M=3 | Q=21.33 | alpha=1.84 | D_ks=0.16 | alpha-hat=1.50 | num traps=7
Layer 4
Layer=4 | N=64 | M=64 | Q=1.00 | alpha=1.54 | D_ks=0.11 | alpha-hat=0.40 | num traps=1
Layer 7
Layer=7 | N=128 | M=64 | Q=2.00 | alpha=1.83 | D_ks=0.07 | alpha-hat=0.81 | num traps=4
Layer 9
Layer=9 | N=128 | M=128 | Q=1.00 | alpha=1.96 | D_ks=0.10 | alpha-hat=0.33 | num traps=1
Layer 12
Layer=12 | N=256 | M=128 | Q=2.00 | alpha=2.81 | D_ks=0.07 | alpha-hat=1.24 | num traps=14
Layer 14
Layer=14 | N=256 | M=256 | Q=1.00 | alpha=3.24 | D_ks=0.06 | alpha-hat=1.36 | num traps=10
Layer 17
Layer=17 | N=512 | M=256 | Q=2.00 | alpha=2.95 | D_ks=0.06 | alpha-hat=1.38 | num traps=13
Layer 19
Layer=19 | N=512 | M=512 | Q=1.00 | alpha=3.04 | D_ks=0.04 | alpha-hat=2.00 | num traps=11
Layer 22
Layer=22 | N=512 | M=512 | Q=1.00 | alpha=3.84 | D_ks=0.04 | alpha-hat=1.93 | num traps=16
Layer 24
Layer=24 | N=512 | M=512 | Q=1.00 | alpha=3.38 | D_ks=0.03 | alpha-hat=2.49 | num traps=11
Layer 29
Layer=29 | N=25088 | M=4096 | Q=6.12 | alpha=2.33 | D_ks=0.03 | alpha-hat=3.63 | num traps=1
Layer 32
Layer=32 | N=4096 | M=4096 | Q=1.00 | alpha=2.18 | D_ks=0.03 | alpha-hat=3.88 | num traps=1
Layer 35
Layer=35 | N=4096 | M=1000 | Q=4.10 | alpha=2.74 | D_ks=0.03 | alpha-hat=4.83 | num traps=0
vgg13 Model Summary Plots
vgg13 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 | 1.84 | 0.16 | 1.50 | 0.82 | 80.00 | 7 | 0 | 0 |
| 4 | CONV2D | 64 | 64 | 1.00 | 1.54 | 0.11 | 0.40 | 0.26 | 73.49 | 1 | 0 | 7 |
| 7 | CONV2D | 128 | 64 | 2.00 | 1.83 | 0.07 | 0.81 | 0.44 | 73.17 | 4 | 0 | 0 |
| 9 | CONV2D | 128 | 128 | 1.00 | 1.96 | 0.10 | 0.33 | 0.17 | 83.51 | 1 | 1 | 4 |
| 12 | CONV2D | 256 | 128 | 2.00 | 2.81 | 0.07 | 1.24 | 0.44 | 80.45 | 14 | 0 | 0 |
| 14 | CONV2D | 256 | 256 | 1.00 | 3.24 | 0.06 | 1.36 | 0.42 | 83.49 | 10 | 0 | 7 |
| 17 | CONV2D | 512 | 256 | 2.00 | 2.95 | 0.06 | 1.38 | 0.47 | 80.38 | 13 | 0 | 0 |
| 19 | CONV2D | 512 | 512 | 1.00 | 3.04 | 0.04 | 2.00 | 0.66 | 85.15 | 11 | 0 | 13 |
| 22 | CONV2D | 512 | 512 | 1.00 | 3.84 | 0.04 | 1.93 | 0.50 | 85.09 | 16 | 0 | 13 |
| 24 | CONV2D | 512 | 512 | 1.00 | 3.38 | 0.03 | 2.49 | 0.74 | 86.13 | 11 | 0 | 16 |
| 29 | DENSE | 25088 | 4096 | 6.12 | 2.33 | 0.03 | 3.63 | 1.56 | 70.19 | 1 | 0 | 0 |
| 32 | DENSE | 4096 | 4096 | 1.00 | 2.18 | 0.03 | 3.88 | 1.78 | 71.50 | 1 | 0 | 7 |
| 35 | DENSE | 4096 | 1000 | 4.10 | 2.74 | 0.03 | 4.83 | 1.76 | 70.91 | 0 | 0 | 0 |
vgg13 Layer Plots
Layer 2
Layer=2 | N=64 | M=3 | Q=21.33 | alpha=1.84 | D_ks=0.16 | alpha-hat=1.50 | num traps=7
Layer 4
Layer=4 | N=64 | M=64 | Q=1.00 | alpha=1.54 | D_ks=0.11 | alpha-hat=0.40 | num traps=1
Layer 7
Layer=7 | N=128 | M=64 | Q=2.00 | alpha=1.83 | D_ks=0.07 | alpha-hat=0.81 | num traps=4
Layer 9
Layer=9 | N=128 | M=128 | Q=1.00 | alpha=1.96 | D_ks=0.10 | alpha-hat=0.33 | num traps=1
Layer 12
Layer=12 | N=256 | M=128 | Q=2.00 | alpha=2.81 | D_ks=0.07 | alpha-hat=1.24 | num traps=14
Layer 14
Layer=14 | N=256 | M=256 | Q=1.00 | alpha=3.24 | D_ks=0.06 | alpha-hat=1.36 | num traps=10
Layer 17
Layer=17 | N=512 | M=256 | Q=2.00 | alpha=2.95 | D_ks=0.06 | alpha-hat=1.38 | num traps=13
Layer 19
Layer=19 | N=512 | M=512 | Q=1.00 | alpha=3.04 | D_ks=0.04 | alpha-hat=2.00 | num traps=11
Layer 22
Layer=22 | N=512 | M=512 | Q=1.00 | alpha=3.84 | D_ks=0.04 | alpha-hat=1.93 | num traps=16
Layer 24
Layer=24 | N=512 | M=512 | Q=1.00 | alpha=3.38 | D_ks=0.03 | alpha-hat=2.49 | num traps=11
Layer 29
Layer=29 | N=25088 | M=4096 | Q=6.12 | alpha=2.33 | D_ks=0.03 | alpha-hat=3.63 | num traps=1
Layer 32
Layer=32 | N=4096 | M=4096 | Q=1.00 | alpha=2.18 | D_ks=0.03 | alpha-hat=3.88 | num traps=1
Layer 35
Layer=35 | N=4096 | M=1000 | Q=4.10 | alpha=2.74 | D_ks=0.03 | alpha-hat=4.83 | num traps=0