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related paper
|摘要|
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|Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance. However, each fraction of a percent of improved acc…
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![_20170729154424](https://user-images.githubusercontent.com/7368805/28743149-65c97f38-7475-11e7-92e2-66463c031e6e.png)
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### Description
I had a deep look into the coolify containers and found some things I believe could be improved (hope I can help like this as I am at the moment not ready to start code contributing)
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http://qwenlm.github.io/blog/qwen2.5-turbo/
https://nianticlabs.com/news/largegeospatialmodel/
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## 一言でいうと
強化学習において、勾配ではなく、遺伝的アルゴリズムを用いてDNNのパラメーター更新してみた研究。パラメーターの更新は非常にシンプルなものだが、DQN/A3Cに匹敵するスコアを記録するケースも見られた。
![image](https://user-images.githubusercontent.com/544269/35425490-79e6e3e0-029e-11…
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# Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Meta-learningとは、学習方法を学習するアルゴリズムの一種。「**少しのデータ・学習ステップの後、すぐに新しいタスクに適応できるモデル**」を学習するこを目標としている。本論文で提案しているModel-Agnostic Meta-Learning …
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https://arxiv.org/abs/1507.08750
TMats updated
7 years ago
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In the second paragraph of Federated Learning, I would emphasise that the gradient leakage is one example of a vulnerability. Maybe briefly also mention the others and that there might be still unknow…
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# Reference
- [ ] [深度学习中Xavier初始化](https://www.cnblogs.com/hejunlin1992/p/8723816.html)
- [ ] [CNN数值——xavier(上)](https://zhuanlan.zhihu.com/p/22028079)
- [ ] [CNN数值——xavier(下)](https://zhuanlan.zhi…
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# Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
## Train/Dev/Test sets
### Train
학습을 위한 데이터셋
### Dev
Cross Validation Set, Dev Set 이라고도 부른다.
다양…