Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
why batch normalization is done | 0.88 | 1 | 880 | 40 | 31 |
why | 1.19 | 1 | 1066 | 30 | 3 |
batch | 1.51 | 0.6 | 7467 | 9 | 5 |
normalization | 1.92 | 0.6 | 3827 | 78 | 13 |
is | 1.65 | 1 | 9490 | 29 | 2 |
done | 1.66 | 0.9 | 3817 | 92 | 4 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
why batch normalization is done | 1.75 | 0.5 | 4346 | 94 |
what is the batch normalization | 0.57 | 0.6 | 7434 | 9 |
normalization vs batch normalization | 0.61 | 0.7 | 9938 | 30 |
what is batch normalisation | 0.28 | 0.7 | 7740 | 36 |
quick introduction of batch normalization | 0.49 | 0.7 | 4880 | 50 |
advantages of batch normalization | 0.83 | 0.1 | 4680 | 76 |
keras batch normalization | 1.05 | 0.3 | 6965 | 35 |
pytorch batch normalization | 0.85 | 0.3 | 274 | 49 |
tensorflow batch normalization | 0.11 | 0.2 | 3840 | 23 |
torch batch normalization | 1.5 | 0.1 | 1704 | 60 |
batch normalization | 0.06 | 0.8 | 2878 | 28 |
batch normalization layer | 0.58 | 0.7 | 6434 | 79 |
batch normalization in cnn | 0.66 | 0.1 | 4586 | 50 |
batch normalization in deep learning | 0.41 | 0.7 | 3139 | 65 |
batch normalization vs layer normalization | 0.11 | 0.7 | 7014 | 22 |
batch normalization bn | 1.03 | 0.5 | 3879 | 98 |
batch normalization formula | 0.5 | 0.1 | 8012 | 59 |
batch normalization explained | 0.42 | 0.8 | 4030 | 2 |
batch normalization arxiv | 0.49 | 0.2 | 435 | 42 |
batch normalization before or after relu | 1.86 | 0.6 | 1580 | 93 |
batch normalization in machine learning | 1.32 | 0.8 | 2083 | 58 |
batch normalization instance normalization | 1.52 | 1 | 770 | 88 |