Densely Connected Convolutional Networks翻譯
Abstract：最近的成果顯示，若是神經網絡各層到輸入和輸出層採用更短的鏈接，那麼網絡能夠設計的更深、更準確且訓練起來更有效率。本文根據這個現象，提出了Dense Convolutional Network (DenseNet)，它之前饋的方式將每一個層都鏈接到其餘每一層。然而傳統L層卷積網絡有L鏈接，而DenseNet的任一層不只與相鄰層有鏈接，並且與它的隨後的全部層都有直接鏈接，因此該網絡有
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相關文章
- 1. Densely Connected Convolutional Networks翻譯總結
- 2. Densely Connected Convolutional Networks
- 3. DenseNet--Densely Connected Convolutional Networks
- 4. Densely Connected Convolutional Networks(2017)
- 5. DenseNet——Densely Connected Convolutional Networks
- 6. Densely Connected Convolutional Networks(DenseNet)
- 7. DenseNet---《Densely Connected Convolutional Networks》
- 8. 【DenseNet】《Densely Connected Convolutional Networks》
- 9. DenseNet Densely Connected Convolutional Networks
- 10. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)