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- https://arxiv.org/abs/2102.07870v2
- 2021
バックプロパゲーションを用いた深い残差ニューラルネットワーク(ResNets)の学習には、ネットワークの深さに応じて線形に増加するメモリコストがかかります。
この問題を回避する方法として、可逆的なアーキテクチャを使用することが挙げられる。
本論文では、モーメンタム項を追加することで、ResNetの順…
e4exp updated
3 years ago
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In `spiking_vgg.py` average pooling is used in favor of max pooling for the VGG's pooling layers. What is the reason for this deviation?
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# Aggregated Residual Transformations for Deep Neural Networks #
- Author: Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
- Origin: https://arxiv.org/abs/1611.05431
- Related:
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https://github.com/facebookresearch/ResNeXt
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Hi Luke!
In your article on Medium [https://medium.com/gsi-technology/residual-neural-networks-in-python-1796a57c2d7](url) you mentioned:
_"_The original dataset from Deepsig.io comes in .hdf5 forma…
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Hey, I really like your work on rank-collapse, and I am trying to understand the way the Dirichlet energy and rank_diff are calculated for each layer for each GNN.
From looking at the code, I under…
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https://arxiv.org/abs/1512.03385
> Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than t…
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As the name suggests, the skip connections in deep architecture bypass some of the neural network layers and feed the output of one layer as the input to the following levels. It is a standard module …
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Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…
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Implement the block diagramed in figure 3a. from “[Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/abs/1611.05431).”