Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
cifar 10 cnn | 1.82 | 0.6 | 3186 | 32 | 12 |
cifar | 1.39 | 0.1 | 9669 | 90 | 5 |
10 | 1.99 | 1 | 1456 | 85 | 2 |
cnn | 0.47 | 0.5 | 7095 | 49 | 3 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
cifar 10 cnn | 0.02 | 0.1 | 5104 | 73 |
cifar 10 cnn model | 1.97 | 0.4 | 8940 | 49 |
cifar 10 cnn pytorch | 1.53 | 0.5 | 4176 | 87 |
cifar 10 cnn tensorflow | 1.95 | 0.3 | 3039 | 41 |
cifar 10 cnn high accuracy | 0.2 | 0.1 | 5439 | 34 |
cnn on cifar 10 dataset | 1.24 | 0.3 | 6037 | 99 |
cifar-10 cnn | 1.84 | 0.6 | 267 | 81 |
best cifar 10 model | 1.78 | 0.7 | 3748 | 90 |
cifar-100 cnn | 1.18 | 1 | 8211 | 6 |
cifar 10 model structure | 0.82 | 0.4 | 2880 | 67 |
this nn for cifar10 not implemented | 1.87 | 0.2 | 6988 | 55 |
what is cifar 10 | 0.18 | 0.9 | 8746 | 89 |
model_cifar10 | 1.34 | 0.4 | 1425 | 71 |
cifar-10 cnn pytorch | 1.31 | 0.6 | 3310 | 9 |
cifar-10 and cifar-100 | 1.43 | 0.5 | 1674 | 45 |
cifar-10 data | 0.54 | 0.8 | 5202 | 29 |
cifar-10 rnn | 0.86 | 0.6 | 518 | 26 |
cifar-10n | 0.51 | 1 | 6969 | 39 |