| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| keras create lstm model | 1.53 | 0.7 | 1787 | 46 | 23 |
| keras | 0.54 | 0.2 | 4379 | 52 | 5 |
| create | 0.58 | 1 | 5869 | 28 | 6 |
| lstm | 1.96 | 0.1 | 8445 | 54 | 4 |
| model | 1.73 | 0.7 | 6529 | 100 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| create lstm model in keras | 1.09 | 0.4 | 4601 | 27 |
| save lstm model keras | 0.18 | 0.1 | 6528 | 86 |
| using lstm in keras | 0.01 | 0.5 | 8567 | 84 |
| few layers keras lstm model | 0.97 | 0.3 | 5496 | 60 |
| keras lstm model use case | 0.33 | 0.6 | 1699 | 76 |
| lstm implementation in keras python | 1.18 | 0.8 | 4265 | 29 |
| keras lstm source code | 0.63 | 0.3 | 1064 | 4 |
| lstm cell in keras | 1.06 | 0.4 | 7618 | 23 |
| create a many-to-many lstm keras | 1.61 | 1 | 1687 | 41 |
| is keras regressor an lstm model | 1.03 | 0.1 | 3676 | 60 |
| keras lstm feature importance | 0.08 | 0.2 | 3532 | 34 |
| multiple lstm layers keras | 0.98 | 0.3 | 3174 | 55 |
| keras functional api lstm | 0.76 | 0.9 | 5254 | 63 |
| lstm activation function keras | 1.78 | 0.2 | 9216 | 50 |
| lstm input shape keras | 0.69 | 0.3 | 1837 | 58 |
| keras.layers lstm | 0.14 | 0.3 | 1330 | 12 |
| keras lstm layer normalization | 0.5 | 0.2 | 3483 | 43 |
| keras_lstm | 0.73 | 1 | 4094 | 42 |
| from keras.layers import lstm | 0.18 | 0.5 | 844 | 60 |
| lstm+attention keras | 1.86 | 0.5 | 8166 | 4 |
