Table 4.
# | Layer Description | Activations | Learnable Parameters (Weights and Biases) |
---|---|---|---|
1 | Sequence input with 3 dimensions | 3 | – |
2 | BiLSTM with 200 hidden units | 200 | Input weights: 800 × 2; Recurrent Weights: 800 × 200; Bias: 800 × 1. |
3 | One fully connected layer | 1 | Weights: 6 × 200; Bias: 1 × 1. |
4 | Regression output | – | – |