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. 2020 Aug 19;20(17):4683. doi: 10.3390/s20174683

Table 4.

Layers of the LSTM after feature extraction.

# 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