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# Residual Attention Network for Image Classification #
- Author: Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang
- Origin: https://arxiv.org/a…
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https://arxiv.org/abs/1704.06904
http://cs231n.stanford.edu/reports/2017/pdfs/939.pdf
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# Identity Mappings in Deep Residual Networks #
- Author: Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
- Origin: https://arxiv.org/abs/1603.05027
- Related:
- https://github.com/KaimingHe…
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https://arxiv.org/abs/1704.06904
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ResNet的第二篇文章
https://arxiv.org/pdf/1603.05027.pdf
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Hello!
I was wondering if you have any samples for Deep Residual Networks?
If anyone has a working sample that can be shared, I would appreciate the help.
Thanks!
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related paper
|摘要|
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|Deep residual networks [1] have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors. In this paper, we analyze…
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## 一言でいうと
ResNetの学習の振る舞いを調査した研究。勾配消失が何故防げているのかを解き明かしている。
ultra-deepなシングルネットワークだが、実は複数のネットワークが並行し、上層で結合しているように(アンサンブルのように)振る舞っている。また、gradientとして貢献しているのはshort path(勾配の伝搬を上手く行っているのがshort path)。deep pat…
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Similar to #74, I'm in the process of swapping in optimistix for a previous solver. The system I'm solving is a relatively small chemical network with mass balance (so think law of mass action plus co…