Research Article
[Retracted] Automated Detection of Rehabilitation Exercise by Stroke Patients Using 3-Layer CNN-LSTM Model
Table 2
List of hyperparameters selected for training.
| | Processing stage | Hyperparameters | Values selected |
| | Convolution_1 | Filters | 64 | | Kernel size | 5 | | Stride | 1 | | Max pooling | 4 |
| | Convolution_2 | Filters | 128 | | Kernel size | 3 | | Max pooling | 2 |
| | Convolution_3 | Filters | 256 | | Kernel size | 3 | | Max pooling | 2 |
| | Training parameters | Learning rate | 0.1 | | Epochs | 36 | | Batch size | 32 | | Optimizer | Adam |
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