Table 4 Experimental results for the other two networks
From: Deep learning for predicting refractive error from multiple photorefraction images
Networks | RNN | Gate | MAE (D) | Accuracy (%) |
|---|---|---|---|---|
REDNet-N | Â | Â | 0.2890 | 84.32 |
REDNet-SimpleRNN | √ |  | 0.3428 | 80.04 |
REDNet | √ | √ | 0.1835 | 89.38 |