Visualizing and Understanding Convolutional Networks筆記2
Contents 反捲積 結構選取 遮擋敏感性 圖片內特徵相關性分析 實驗 本文爲20141024週報。 在所有深度網絡中，卷積神經網和圖像處理最爲密切相關，卷積網絡在很多圖片分類競賽中都取得了很好的效果，但卷積網調參過程很不直觀，很多時候都是碰運氣。爲此，卷積網絡發明者Yann LeCun的得意門生Matthew Zeiler在2013年專門寫了一篇論文，闡述瞭如何用反捲積網絡可視化整個卷積網絡
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相關文章
- 1. Visualizing and Understanding Convolutional Networks筆記
- 2. Visualizing and Understanding Convolutional Networks
- 3. 論文筆記Visualizing and understanding convolutional networks
- 4. 論文筆記：Visualizing and Understanding Convolutional Networks
- 5. Visualizing and Understanding Convolutional Networks閱讀筆記
- 6. ZFNet: Visualizing and Understanding Convolutional Networks
- 7. 淺談《Visualizing and Understanding Convolutional Networks》
- 8. Understanding and Visualizing Convolutional Neural Networks
- 9. Deep learning學習筆記(2)：Visualizing and Understanding Convolutional Networks(ZF-net)
- 10. 對《Visualizing and Understanding Convolutional Networks》理解