Methods › Computer Vision › Convolutional Neural Networks › FractalNet
FractalNet
Introduced by Gustav Larsson et al. in FractalNet: Ultra-Deep Neural Networks without Residuals
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
FractalNet is a type of convolutional neural network that eschews residual connections in favour of a "fractal" design. They involve repeated application of a simple expansion rule to generate deep networks whose structural layouts are precisely truncated fractals. These networks contain interacting subpaths of different lengths, but do not include any pass-through or residual connections; every internal signal is transformed by a filter and nonlinearity before being seen by subsequent layers.
Papers archive 2025-07-28
6 shown of 6, 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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Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks 28 Dec 2017 · 1 repository · arXiv:1712.09872
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CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior 30 Oct 2017 · 0 repositories · arXiv:1710.11176
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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations 27 Oct 2017 · 0 repositories · arXiv:1710.10121
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SMASH: One-Shot Model Architecture Search through HyperNetworks 17 Aug 2017 · 1 repository · arXiv:1708.05344
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Deep Convolutional Neural Network Design Patterns 2 Nov 2016 · 1 repository · arXiv:1611.00847
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FractalNet: Ultra-Deep Neural Networks without Residuals 24 May 2016 · 4 repositories · arXiv:1605.07648Syntology ran 4 of 6 samples · 2 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
6 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 |
|---|---|
| Deep Learning | 1 |
| Image Classification | 1 |
| Neural Architecture Search | 1 |
| Object Recognition | 1 |
| Translation | 1 |
| model | 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
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