Visualizing and Understanding Convolutional Networks
卷積神經網絡可以提高分類效果，然而其內部解釋性卻不如傳統網絡。爲了弄清楚卷積神經網絡是如何提取圖像特徵，Matthew D. Zeiler與Rob Fergus就這個問題發表了Visualizing and Understanding Convolutional Networks論文。 在觀察第一層圖片特徵提取時，會發現卷積網絡會首先提取一些簡單的色彩，直線，曲線等低級特徵，而到了第二層甚至更高層
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相關文章
- 1. Visualizing and Understanding Convolutional Networks
- 2. ZFNet: Visualizing and Understanding Convolutional Networks
- 3. 淺談《Visualizing and Understanding Convolutional Networks》
- 4. Visualizing and Understanding Convolutional Networks筆記
- 5. Understanding and Visualizing Convolutional Neural Networks
- 6. 對《Visualizing and Understanding Convolutional Networks》理解
- 7. 《Visualizing and Understanding Convolutional Networks》閱讀理解
- 8. 【論文翻譯】Visualizing and Understanding Convolutional Networks
- 9. 論文筆記Visualizing and understanding convolutional networks
- 10. [ZFNet論文閱讀] Visualizing and Understanding Convolutional Networks