Zagoruyko And Komodakis (2017).pdf

1605.07146.pdf
Preview of Zagoruyko and Komodakis (2017)
🔗 Source: arxiv.org
📊 Size: 393 KB
📄 Pages: 15 pages
⬇️ Downloads: 58

Summary

Sergey Zagoruyko and Nikos Komodakis propose Wide Residual Networks (WRNs), a novel architecture that decreases depth and increases width of residual networks, outperforming thin and deep counterparts. A 16-layer-deep WRN achieves state-of-the-art results on CIFAR, SVHN, COCO, and significant improvements on ImageNet, surpassing thousand-layer-deep networks. The study explores the architecture of ResNet blocks, finding that widening ResNet blocks improves performance more effectively than increasing depth, and that the use of dropout in ResNet blocks can regularize training and prevent overfitting.

Description

Sergey Zagoruyko and Nikos Komodakis propose Wide Residual Networks (WRNs), a novel architecture that decreases depth and increases width of residual networks,...

Technical Information

  • File Format: PDF
  • File Size: 393 KB
  • Pages: 15
  • Language: EN
  • Total Downloads: 58
  • Last Updated: 1 month ago

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