Research Article
Deep Neural Network for Accurate Age Group Prediction through Pupil Using the Optimized UNet Model
Table 8
Training parameters using adaptive moment optimizer prop in the model.
| CNN layer | Operation | Output | Stride | Kernel | In | Out | Trainable variables |
| 64 × 64 × 32 | Convolution | 32 × 32 × 32 | 2 | 2 | 32 | 32 | 0 | 32 × 32 × 32 | | 32 × 32 × 64 | 2 | 3 | 32 | 64 | 0 | 32 × 32 × 64 | Max pooling | 16 × 16 × 64 | 2 | 3 | 64 | 64 | 9465 | 16 × 16 × 64 | Conv | 16 × 16 × 128 | 2 | 3 | 64 | 128 | 0 | 16 × 16 × 128 | Conv | 8 × 8 × 128 | 2 | 3 | 128 | 128 | 35642 | 8 × 8 × 128 | Max pooling | 8 × 8 × 256 | 2 | 3 | 128 | 256 | 32456 | 8 × 8 × 256 | Conv | 16 × 16 × 128 | 2 | 3 | 256 | 128 | 0 | 16 × 16 × 128 | Conv | 16 × 16 × 256 | 2 | 3 | 128 | 256 | 0 | 16 × 16 × 256 | Conv | 16 × 16 × 128 | 2 | 3 | 256 | 128 | 78954 | 16 × 16 × 128 | Max pooling | 32 × 32 × 64 | 2 | 3 | 128 | 64 | 123487 | 32 × 32 × 64 | Conv | 32 × 32 × 128 | 2 | 3 | 64 | 128 | 145863 | 32 × 32 × 128 | Conv | 32 × 32 × 64 | 2 | 3 | 128 | 64 | 754623 | 32 × 32 × 64 | Conv | 64 × 64 × 32 | 2 | 3 | 64 | 32 | 0 | 64 × 64 × 32 | Max pooling | 64 × 64 × 64 | 2 | 3 | 32 | 64 | 0 | 64 × 64 × 64 | Conv | 64 × 64 × 32 | 2 | 3 | 63 | 32 | 458692 | 128 × 128 × 16 | Conv | 128 × 128 × 32 | 2 | 3 | 16 | 32 | 459896 | 128 × 128 × 32 | Conv | 128 × 128 × 16 | 2 | 3 | 32 | 16 | 595656 | 14 × 14 × 512 | Flatten | 7 × 7 × 512 | 1 | 3 | 512 | 512 | 652342 | 1 × 1 × 4096 | FC2 | 1 × 1 × 1000 | 7 | 2 | 4096 | 1000 | 687519 |
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