,ConvNet

Yang Xu1, Yongjie Ma2

  • 1College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China.

Scientific reports
|September 22, 2023
PubMed
概括

本研究介绍了一种使用变压器和ConvNets自动设计高效深度学习模型的进化神经架构搜索 (ENAS) 方法. 这种方法提高了性能,并降低了复杂网络架构的计算成本.

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