[論文筆記]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
摘要： 貢獻：提出了一種新的方法，Relay Backpropagation,使得有效信息可以在訓練階段被傳播，此方法獲得了ILSVRC 2015 Scene Classification 挑戰的第一名。 一.介紹 隨着近年來卷積神經網絡CNN的應用，在許多計算機視覺任務中獲得了巨大的突破；與此同時，網絡深度的重要性也被揭露出來了，比如VGG16比AlexNet有更深的網絡
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相關文章
- 1. Learning Convolutional Neural Networks for Graphs論文筆記
- 2. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 3. Neural Networks: Learning: Backpropagation intuition
- 4. 【Fast Algorithms for Convolutional Neural Networks】論文筆記
- 5. Deep Learning 1: Foundations of Convolutional Neural Networks
- 6. Machine Learning & Deep Learning 論文閱讀筆記
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- 9. 論文閱讀筆記（一）：Learning Dual Convolutional Neural Networks for Low-Level Vision
- 10. 論文筆記《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》