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**Submitting author:** @DenaJGibbon (Dena Clink)
**Repository:** https://github.com/DenaJGibbon/gibbonNetR
**Branch with paper.md** (empty if default branch):
**Version:** 1.0.0
**Editor:** @faroit
*…
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Hi, thank you for this great work!
I would like to know how these [features](https://github.com/DaoyiG/DiffCAD#:~:text=Encoded%20object%20latents%20for%20retrieval.) used for retrieval are obtained…
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### 論文へのリンク
[[arXiv:1904.09925] Attention Augmented Convolutional Networks](https://arxiv.org/abs/1904.09925)
### 著者・所属機関
Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le…
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related paper
|摘要|
|---|
|Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers c…
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Convolutional Neural Networks are very similar to ordinary Neural Networks. ConvNet architectures make the explicit assumption that the inputs are images, which allows us to encode certain properties …
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Venue: ICML 2019
Summary: Proposes a simplified linear graph neural network architecture (GCN with non-linearity layers removed). New architecture is significantly faster than the state of the art mo…
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Anyone has interest to utilize the sparsity to accelerate DNNs?
I am working on the fork https://github.com/wenwei202/caffe/tree/scnn and currently, on average, achieve ~5x CPU and ~3x GPU layer-wi…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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# Densely Connected Convolutional Networks #
- Author: Gao Huang, Zhuang Liu, Kilian Q. Weinberger, Laurens van der Maaten
- Origin: https://arxiv.org/abs/1608.06993
- Related:
- https://githu…