Methods › Computer Vision › Convolutional Neural Networks › PReLU-Net
PReLU-Net
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PReLU-Net is a type of convolutional neural network that utilises parameterized ReLUs for its activation function. It also uses a robust initialization scheme - afterwards known as Kaiming Initialization - that accounts for non-linear activation functions.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 6 Feb 2015 · 15 repositories · arXiv:1502.01852Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| General Classification | 1 |
| Image Classification | 1 |
| image-classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections