自学网络结构（一）：Neural Architecture Search With Reinforcement Learning
论文：Neural Architecture Search With Reinforcement Learning 链接：https://arxiv.org/abs/1611.01578 代码链接：https://github.com/tensorflow/models 这是ICLR2017的文章，讲述如果用强化学习（reinforcement learning）来学习一个最优的网络结构。这篇文章
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相关文章
- 1. NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 2. Neural Architecture Search with Reinforcement Learning论文总结
- 3. Paper Reading:NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 4. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 5. 论文笔记《Neural Architecture Search With Reinforcement Learning》
- 6. 《Neural Architecture Search with Reinforcement Learning》翻译
- 7. 网络结构搜索（1）—— NAS（Neural architecture search with reinforcement learning）论文笔记
- 8. Neural architecture search
- 9. 论文笔记系列-Neural Architecture Search With Reinforcement Learning
- 10. 【知识普及】神经网络架构搜索（Neural Architecture Search，NAS）