Structural Design of Convolutional Neural Networks for Steganalysis 閱讀筆記
摘要 最近的研究表明,卷積神經網絡(cnn)的體系結構爲計算機視覺可能不是最適合圖像隱寫式密碼解密。在這封信中,我們報告一個CNN架構,考慮隱寫式密碼解密的知識。在詳細的體系結構中,我們取絕對值的元素特徵圖第一次卷積層產生的促進和改善後續的統計建模層;爲了防止過度擬合,我們限制數據值的範圍與雙曲正切的飽和區域(雙曲正切)在早期階段的網絡和減少建模的力量在深層使用1×1的隆起。雖然只從一種噪聲殘留,
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相關文章
- 1. Structural Design of Convolutional Neural Networks for Steganalysis
- 2. Convolutional Neural Networks for Sentence Classification 閱讀筆記
- 3. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 4. Bag of Tricks for Image Classification with Convolutional Neural Networks閱讀筆記
- 5. Graph Convolutional Networks for Text Classification閱讀筆記
- 6. 【論文閱讀筆記】Ristretto： Hardware-Oriented Approximation of Convolutional Neural Networks
- 7. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 8. 論文閱讀筆記（一）：Learning Dual Convolutional Neural Networks for Low-Level Vision
- 9. Bag of Tricks for Convolutional Neural Networks
- 10. 【論文閱讀筆記】Convolutional Neural Networks for Sentence Classification