I have designed this cervical cancer detection model ResNet-50 which has 48 Convolution layers along with 1 MaxPool and 1 Average Pool layer. While the original Resnet had 34 layers and used 2-layer blocks, other advanced variants such as the Resnet50 made the use of 3-layer bottleneck blocks to ensure improved accuracy and lesser training time.
active 2024-03-16 → 2024-03-16 (UTC)
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Line chart, 1 days from 2024-03-16 to 2024-03-16. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Archishman2002 | 3 | 3 | 0 | 0 |
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