Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
bilstm keras | 1.53 | 0.1 | 7116 | 77 | 12 |
bilstm | 0.59 | 0.7 | 5748 | 91 | 6 |
keras | 1.23 | 0.6 | 3155 | 93 | 5 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
bilstm keras | 1.25 | 1 | 1666 | 68 |
bilstm with attention keras | 1.48 | 0.4 | 8132 | 96 |
cnn bilstm keras | 1.49 | 0.6 | 9302 | 70 |
keras embeddings with attention | 0.5 | 1 | 3691 | 17 |
cnn-bilstm keras | 0.49 | 1 | 3858 | 80 |
keras attention_block | 0.7 | 0.5 | 722 | 19 |
keras-attention | 0.04 | 0.2 | 6215 | 13 |
keras lstm+attention | 1.28 | 0.4 | 5539 | 80 |
attention add to lstm keras_bert | 1.67 | 0.7 | 4203 | 7 |
keras multi head attention | 1.12 | 0.5 | 6565 | 16 |
attention_keras | 0.59 | 0.5 | 633 | 42 |
dual attention lstm in keras github code | 1.09 | 0.8 | 8712 | 90 |
keras attention layer example | 0.98 | 0.8 | 2726 | 68 |
keras cv attention models | 0.66 | 0.4 | 8390 | 65 |
cnn lstm attention keras | 0.48 | 0.4 | 3537 | 31 |
keras attention layer lstm example | 0.24 | 0.5 | 8132 | 10 |
attention layer in keras | 0.91 | 0.8 | 9801 | 83 |
keras multi head attention layer | 0.04 | 0.7 | 259 | 6 |
bilstm_attention | 0.72 | 0.2 | 3821 | 38 |
keras data augmentation documentation | 1.88 | 1 | 5558 | 5 |
import keras_self_attention | 0.06 | 0.9 | 115 | 13 |