Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
bilstm with attention keras | 1.5 | 0.7 | 6300 | 74 | 27 |
bilstm | 1.35 | 0.4 | 3570 | 9 | 6 |
with | 0.35 | 0.5 | 6700 | 35 | 4 |
attention | 0.01 | 0.7 | 1407 | 86 | 9 |
keras | 0.37 | 0.1 | 9772 | 54 | 5 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
bilstm with attention keras | 0.21 | 0.9 | 4475 | 57 |
keras embeddings with attention | 0.36 | 0.7 | 1885 | 81 |
cnn-bilstm keras | 0.94 | 0.8 | 5811 | 5 |
keras attention_block | 1.87 | 0.1 | 2642 | 40 |
keras-attention | 1.04 | 0.4 | 2395 | 89 |
keras lstm+attention | 0.33 | 0.4 | 2701 | 33 |
attention add to lstm keras_bert | 1.76 | 0.2 | 5741 | 98 |
keras multi head attention | 0.15 | 0.3 | 6346 | 59 |
attention_keras | 1.12 | 0.6 | 8649 | 43 |
dual attention lstm in keras github code | 1.43 | 1 | 4341 | 22 |
keras attention layer example | 1.33 | 0.8 | 2230 | 95 |
keras cv attention models | 1.66 | 0.7 | 4979 | 96 |
cnn lstm attention keras | 0.59 | 1 | 5358 | 12 |
keras attention layer lstm example | 0.46 | 0.7 | 2200 | 100 |
attention layer in keras | 1.27 | 0.3 | 2519 | 23 |
keras multi head attention layer | 0.81 | 0.6 | 1033 | 25 |
bilstm_attention | 0.08 | 0.1 | 9388 | 96 |
keras data augmentation documentation | 0.46 | 0.3 | 5804 | 43 |
import keras_self_attention | 1.92 | 0.1 | 278 | 91 |