Visualizing and Understanding Convolutional Networks閱讀筆記
本文采用Deconvnet對CNN學習到的features進行可視化。 核心思想 對CNN的第n層中的某一個feature map，每一個unit就是一個activation，當我們想要可視化某一個activation時，將第n層中除了這個activation以外的所有feature maps中的activations都設爲零，一起輸入給deconvnet，即可得到一個reconstruction
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相關文章
- 1. Visualizing and Understanding Convolutional Networks筆記
- 2. 《Visualizing and Understanding Convolutional Networks》閱讀理解
- 3. [ZFNet論文閱讀] Visualizing and Understanding Convolutional Networks
- 4. Visualizing and Understanding Convolutional Networks
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- 6. 論文閱讀筆記（四十二）：Visualizing and Understanding Convolutional Networks
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