Densely Connected Convolutional Networks(2017)
Densely Connected Convolutional Networks(2017) 1、 爲什麼要做這個研究（理論走向和目前缺陷） ? Resnet的直接sum可能會阻礙信息流動。減輕梯度消失，增強特徵傳播，減參數。 2、 他們怎麼做這個研究 （方法，尤其是與之前不同之處） ? 設計DenseNet，跟resnet主要不同就是改直接Sum爲concatenate和前饋密集連接。 3、 發
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- 1. Densely Connected Convolutional Networks
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- 5. DenseNet---《Densely Connected Convolutional Networks》
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相關文章
- 1. Densely Connected Convolutional Networks
- 2. DenseNet--Densely Connected Convolutional Networks
- 3. DenseNet——Densely Connected Convolutional Networks
- 4. Densely Connected Convolutional Networks(DenseNet)
- 5. DenseNet---《Densely Connected Convolutional Networks》
- 6. 【DenseNet】《Densely Connected Convolutional Networks》
- 7. DenseNet: Densely connected convolutional network
- 8. DenseNet Densely Connected Convolutional Networks
- 9. Densely Connected Convolutional Networks翻譯
- 10. Densely Connected Convolutional Networks (DenseNet 2017 CVPR)