Neural architecture search

时间 2020-07-17

标签 neural architecture search 繁體版

原文原文链接

https://en.wikipedia.org/wiki/Neural_architecture_search Neural architecture search (NAS)[1] denotes the process of automatically designing artificial neural networks (ANN), a widely used model in the

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1. Neural Architecture Search(NAS)
2. Neural Architecture Search — Limitations and Extensions
3. Research Guide for Neural Architecture Search
4. Efficient Neural Architecture Search via Parameter Sharing
5. NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
6. Video Architecture Search
7. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
8. 论文笔记：Progressive Neural Architecture Search
9. 论文笔记《Neural Architecture Search With Reinforcement Learning》
10. Progressive Neural Architecture Search（论文阅读）
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1. Neural Architecture Search(NAS)
2. Neural Architecture Search — Limitations and Extensions
3. Research Guide for Neural Architecture Search
4. Efficient Neural Architecture Search via Parameter Sharing
5. NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
6. Video Architecture Search
7. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
8. 论文笔记：Progressive Neural Architecture Search
9. 论文笔记《Neural Architecture Search With Reinforcement Learning》
10. Progressive Neural Architecture Search（论文阅读）

>>更多相关文章<<