（論文解讀）High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks
目錄 論文解讀之： High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks 一、寫在前面 1、文章主要內容概述 2、Label Shuffling 二、貢獻 三、符號說明 四、高頻成分與CNN的泛化能力 五、重新考慮數據 六、訓練技巧 七、從對抗學習發現卷積核 八、高頻真的
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相關文章
- 1. High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks CNN泛華論文解讀
- 2. CV：翻譯並解讀2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
- 3. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 4. 論文解讀-Bag of Tricks for Image Classification with Convolutional Neural Networks
- 5. 論文閱讀：Pointwise Convolutional Neural Networks
- 6. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 7. 【論文閱讀筆記】Ristretto： Hardware-Oriented Approximation of Convolutional Neural Networks
- 8. 論文筆記《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》
- 9. 《Convolutional Neural Networks for Sentence Classification》論文研讀
- 10. 論文閱讀-Fast Algorithms for Convolutional Neural Networks