ZFNet: Visualizing and Understanding Convolutional Networks
目錄 論文結構 反捲積 ZFnet的創新點主要是在信號的「恢復」上面，什麼樣的輸入會導致類似的輸出，通過這個我們可以瞭解神經元對輸入的敏感程度，比如這個神經元對圖片的某一個位置很敏感，就像人的鼻子對氣味敏感，於是我們也可以藉此來探究這個網絡各層次的功能，也能幫助我們改進網絡。 論文結構 input: \(3 \times 224 \times 224\), filter size: 7, filt
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相關文章
- 1. ZFNet: Visualizing and Understanding Convolutional Networks
- 2. [ZFNet論文閱讀] Visualizing and Understanding Convolutional Networks
- 3. Visualizing and Understanding Convolutional Networks
- 4. 淺談《Visualizing and Understanding Convolutional Networks》
- 5. Visualizing and Understanding Convolutional Networks筆記
- 6. Understanding and Visualizing Convolutional Neural Networks
- 7. 圖像文章閱讀2-ZFNet-Visualizing and Understanding Convolutional Networks
- 8. Visualizing and Understanding convolutional Networks(ZFNet)論文閱讀筆記
- 9. 對《Visualizing and Understanding Convolutional Networks》理解
- 10. 《Visualizing and Understanding Convolutional Networks》閱讀理解