主幹網絡系列(1) -ResNet: Deep Residual Learning for Image Recognition
論文地址： Deep Residual Learning for Image Recognition 工程代碼： Github鏈接 0. 摘要 衆所周知，神經網絡的效果和神經網絡的層數有很大的關係，通常越深的網絡效果越好，訓練難度也就越大。但是隨着深度進一步增加，網絡的訓練代價大幅上升，但效果卻沒有提升，甚至有所下降，爲了解決這個問題，論文提出了深度殘差模塊並在此基礎上形成了深度殘差學習框架R
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相關文章
- 1. [ResNet]Deep Residual Learning for Image Recognition
- 2. ResNet —— Deep Residual Learning for Image Recognition
- 3. ResNet——Deep Residual Learning for Image Recognition
- 4. ResNet(deep residual learning for image recognition)
- 5. ResNet--Deep Residual Learning for Image Recognition
- 6. ResNet解析：Deep Residual Learning for Image Recognition
- 7. Deep Residual Learning for Image Recognition （zh）
- 8. Deep Residual Learning for Image Recognition（ResNet） 閱讀
- 9. 殘差網絡(Deep Residual Learning for Image Recognition)
- 10. Deep Residual Learning for Image Recognition