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CNN–RNN hyper-parameters.
| Parameters | Layer |
|---|---|
| Kernel size = 3, activation = ‘relu’, filters = 32 | Conv1d |
| Kernel size = 3, activation = ‘relu’, filters = 32 | Conv1d_1 |
| Pool_size = 2 | Maxpooling1d |
| Kernel size = 3, activation = ‘relu’, filters = 32 | Conv1d_2 |
| --- | Flatten |
| Number of neurons = 64 | LSTM |
| Number of neurons = 128, activation = ‘relu’ | Dense |
| Number of neurons = 128, activation = ‘relu’ | Dense_1 |
| Number of neurons = 2 or 3, activation = ‘softmax’ | Dense_2 |
