論文《On the Number of Linear Regions of Deep Neural Networks》翻譯
目錄 1. 摘要 2. 前饋網絡的組成及其特性 2.1 定義 2.2 淺層網絡 2.3 深層網絡 2.4 將輸入標識爲空間摺疊 2.5 穩定的攝動 2.6 整流器MLP中摺痕的經驗評估 3. 深層RELU網絡 3.1 框架結構 3.2 結果描述 4. 深層Maxout網絡 5. 結論 1. 摘要 我們研究了具有分段線性激活的深度前饋神經網絡函數的複雜性，包括它們的對稱性和線性區域的數量。深度網絡能
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相關文章
- 1. On the Number of Linear Regions of Deep Neural Networks
- 2. [論文翻譯]Reducing the Dimensionality of Data with Neural Networks
- 3. CV：翻譯並解讀2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
- 4. 論文--閱讀翻譯筆記-Reducing the Dimensionality of Data with Neural Networks
- 5. Exploring the teaching of deep learning in neural networks
- 6. Deep Neural Networks for Object Detection論文翻譯
- 7. ICLR2014_Intriguing properties of neural networks
- 8. Xavier——Understanding the difficulty of training deep feedforward neural networks
- 9. The Unreasonable Effectiveness of Recurrent Neural Networks
- 10. [論文筆記] [2010] Understanding the Difficulty of Training Deep Feedforward Neural Networks