Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
r drop:regularized dropout for neural network | 1.35 | 0.5 | 1366 | 88 | 45 |
r | 1.49 | 0.8 | 3167 | 31 | 1 |
drop:regularized | 1.9 | 1 | 5192 | 12 | 16 |
dropout | 1.74 | 0.5 | 8850 | 97 | 7 |
for | 1.14 | 0.2 | 1146 | 79 | 3 |
neural | 1.51 | 0.9 | 907 | 86 | 6 |
network | 0.74 | 0.2 | 4581 | 27 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
regularized dropout for neural networks | 1.37 | 0.9 | 2637 | 34 |
dropout rate neural network | 0.66 | 0.9 | 2786 | 98 |
dropout in neural network | 1.07 | 1 | 5067 | 33 |
dropout does it work for neural networks | 0.81 | 0.3 | 5941 | 6 |
purpose of dropout in neural network | 1.75 | 0.4 | 7122 | 96 |
dropout method neural networks | 1.91 | 0.5 | 3961 | 47 |
dropout doesn't help neural networks | 1.27 | 0.2 | 5347 | 73 |
improving neural networks with dropout | 0.52 | 0.6 | 853 | 37 |
dropout layer in neural network | 0.95 | 1 | 3399 | 32 |
dropout doesn't exist in neural networks | 0.95 | 0.1 | 728 | 21 |
r-dropout | 0.67 | 0.4 | 2617 | 70 |
what is a drop of r | 0.32 | 0.5 | 5020 | 32 |
r drop_na | 0.27 | 0.6 | 1512 | 71 |
r-dropping | 0.01 | 0.9 | 5334 | 94 |
what is a neutral drop | 1.72 | 0.3 | 2208 | 35 |
r-drop:regularized dropout for neural network | 0.74 | 0.4 | 2432 | 52 |
dropout in neural networks | 1.08 | 0.9 | 8766 | 31 |
neural network dropout layer | 0.41 | 0.1 | 2418 | 35 |
how to regularize neural network | 0.83 | 1 | 6679 | 74 |
regularization in neural networks | 1.25 | 1 | 9587 | 49 |
recurrent neural network regularization | 1.49 | 0.2 | 4970 | 96 |