自學網絡結構（一）：Neural Architecture Search With Reinforcement Learning
論文：Neural Architecture Search With Reinforcement Learning 鏈接：https://arxiv.org/abs/1611.01578 代碼鏈接：https://github.com/tensorflow/models 這是ICLR2017的文章，講述如果用強化學習（reinforcement learning）來學習一個最優的網絡結構。這篇文章
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相關文章
- 1. NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 2. Neural Architecture Search with Reinforcement Learning論文總結
- 3. Paper Reading:NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 4. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 5. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 6. 《Neural Architecture Search with Reinforcement Learning》翻譯
- 7. 網絡結構搜索（1）—— NAS（Neural architecture search with reinforcement learning）論文筆記
- 8. Neural architecture search
- 9. 論文筆記系列-Neural Architecture Search With Reinforcement Learning
- 10. 【知識普及】神經網絡架構搜索（Neural Architecture Search，NAS）