| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| vgg16 | 0.59 | 0.7 | 2094 | 66 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| vgg16 | 0.11 | 0.1 | 1272 | 80 |
| vgg16 model | 0.06 | 0.8 | 9376 | 41 |
| vgg16 architecture | 0.19 | 0.7 | 2016 | 88 |
| vgg16 pytorch | 1.83 | 0.1 | 4551 | 49 |
| vgg16 paper | 1.23 | 0.2 | 2269 | 59 |
| vgg16 keras | 1.4 | 0.5 | 7530 | 35 |
| vgg16 tensorflow | 1.84 | 0.3 | 5451 | 91 |
| vgg16 github | 0.1 | 0.8 | 9748 | 62 |
| vgg16 cifar10 | 1.19 | 0.2 | 3008 | 79 |
| vgg16 code | 1.76 | 0.5 | 4994 | 93 |
| vgg16 vs vgg19 | 1.92 | 0.6 | 8945 | 3 |
| vgg16_bn | 1.3 | 1 | 547 | 37 |
| vgg16 layers | 1.76 | 0.1 | 4214 | 70 |
| vgg16 python | 0.51 | 0.7 | 7267 | 66 |
| vgg16 cnn | 0.4 | 0.6 | 4168 | 77 |
| vgg16 model architecture | 0.94 | 0.3 | 9209 | 84 |
| vgg16 transfer learning | 1.32 | 0.7 | 3769 | 31 |
| vgg16 model code | 1.56 | 0.7 | 1695 | 76 |
| vgg16 architecture diagram | 0.6 | 0.7 | 4841 | 69 |
| vgg16 pretrained model | 0.84 | 0.3 | 2343 | 44 |
| vgg16 vs resnet50 | 1.37 | 0.1 | 382 | 24 |
