Table 2.
Architecture description of the FFNN-1: feed-forward neural network-1 section of the proposed system.
Layer | #Neurons | #Parameter | Output size |
---|---|---|---|
Input | 0 | 0 | 128 |
D t 1 | 64 | 8256 | 64 |
D t 2 | 128 | 8320 | 128 |
D t 3 | 64 | 8256 | 64 |
D t 4 | 2 | 130 | 2 |
D r 1 | 64 | 8256 | 64 |
D r 2 | 128 | 8320 | 128 |
D r 3 | 64 | 8256 | 64 |
D r 4 | 2 | 130 | 2 |
D s 1 | 64 | 8256 | 64 |
D s 2 | 128 | 8320 | 128 |
D s 3 | 64 | 8256 | 64 |
D s 4 | 2 | 130 | 2 |
Total number of parameters in FFNN-1: 74886 |