Table 1 The number of model parameters and total training time for foreground models in 30 iterations
From: Sequence-specific bias correction for RNA-seq data using recurrent neural networks
| Â | GRU-10 | GRU-20 | LSTM-10 | LSTM-20 |
|---|---|---|---|---|
Number of parameters | 524 | 1644 | 684 | 2164 |
Training time | 375.1 s | 529.3 s | 361.7 s | 526.3 s |
Perplexity of testing set | 3.833 | 3.823 | 3.833 | 3.822 |