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Architecture of deep learning model II
| Type of neural network | Convolutional neural network (CNN) |
| Number of hidden layers | 8 |
| Number of filters | 128 (1st and 2nd convolutional layers) |
| 256 (3d and 4th convolutional layers) | |
| Kernel sizes (convolutional layers) | 10 (all layers) |
| Number of pooling layers | 2 (1 max pooling and 1 average pooling) |
| Number of fully connected layers | 3 |
| Number of cells in fully connected layers | 16, 8, 4 |
| Number of input sequences | 1 |
