Inverting Convolutional Networks with Convolutional Networks 論文理解
Inverting Convolutional Networks with Convolutional Networks 論文創新點： （1）提出了一個前向生成圖像網絡（上卷積網絡）。相比於之前的梯度下降優化方式提高了速度，基本能達到實時。 （2）提出了新的損耗計算方式。圖像之間的距離損耗。之前是採用最小化特徵的距離，這種損耗會有這樣的弊端：不同的圖像映射的feature卻比較接近。 論文研究實
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相關文章
- 1. Inverting Visual Representations with Convolutional Networks論文理解
- 2. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 3. [論文閱讀]Language Modeling with Gated Convolutional Networks
- 4. [論文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
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- 6. 《Large-Scale Learnable Graph Convolutional Networks》論文理解
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- 8. 論文閱讀：deformable convolutional networks
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- 10. ImageNet Classification with Deep Convolutional Neural Networks