| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| keras add lstm layer | 0.5 | 0.6 | 1959 | 72 | 20 |
| keras | 0.25 | 0.3 | 7375 | 69 | 5 |
| add | 0.86 | 0.2 | 2636 | 59 | 3 |
| lstm | 1.3 | 0.1 | 8133 | 6 | 4 |
| layer | 1.83 | 0.4 | 8467 | 24 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| keras add lstm layer | 1.63 | 0.4 | 3882 | 62 |
| add multiple lstm layers keras | 0.23 | 0.8 | 3484 | 77 |
| keras lstm layer vs dense layer | 0.55 | 0.8 | 1319 | 89 |
| lstm dense layer keras | 1.51 | 0.5 | 762 | 76 |
| keras attention layer lstm | 0.56 | 0.3 | 2312 | 68 |
| lstm implementation in keras | 0.41 | 0.6 | 3745 | 10 |
| tf keras layers lstm | 1.82 | 0.7 | 954 | 54 |
| lstm model using keras | 0.24 | 0.8 | 2629 | 36 |
| lstm layer normalization keras | 0.54 | 0.2 | 2752 | 46 |
| keras.layers import lstm | 0.33 | 1 | 5465 | 11 |
| build lstm model in keras | 0.71 | 0.5 | 7251 | 53 |
| lstm function in keras | 0.13 | 0.8 | 876 | 8 |
| lstm in python keras | 1.81 | 0.4 | 4881 | 16 |
| lstm implementation in keras python | 1.36 | 0.7 | 942 | 46 |
| what is lstm in keras | 1.89 | 0.5 | 3962 | 19 |
| from keras.layers import dense lstm | 1.89 | 0.8 | 7795 | 90 |
| keras.layers.lstm 32 inputs | 0.73 | 0.7 | 999 | 50 |
