Neural architecture search

時間 2020-07-17

標籤 neural architecture search 简体版

原文原文鏈接

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. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
8. 論文筆記：Progressive Neural Architecture Search
9. 論文筆記《Neural Architecture Search With Reinforcement Learning》
10. Progressive Neural Architecture Search（論文閱讀）
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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. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
8. 論文筆記：Progressive Neural Architecture Search
9. 論文筆記《Neural Architecture Search With Reinforcement Learning》
10. Progressive Neural Architecture Search（論文閱讀）

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