RandWireNN: Exploring Randomly Wired Neural Networks for Image Recognition
在該研究中，來自 FAIR 的研究人員謝賽寧、Alexander Kirillov 、Ross Girshick 與何愷明通過隨機神經網絡連接的方式探索了比此前神經架構搜索更爲廣泛的連接形式，並實現了很好的效果。RandWireNN Abstract 用於圖像識別的神經網絡經過廣泛的手工設計，從簡單的鏈狀模型發展到具有多條路徑的結構。ResNets[11]和DenseNets[16]的成功在很大程
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相關文章
- 1. 讀Exploring Randomly Wired Neural Networks for Image Recognition
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