每天一篇論文 319/365 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Code 摘要 本文提出了一種稱爲NetAdapt的算法，該算法在給定資源預算的情況下，自動地將預先訓練好的深層神經網絡應用於移動平臺。雖然許多現有算法基於MAC或權重的數量來簡化網絡，但是優化這些間接度量可能不一定減少直接度量，例如延遲和能量消耗。
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相關文章
- 1. 《NetAdapt：Platform-Aware Neural Network Adaptation for Mobile Applications》論文筆記
- 2. Mobile-Efficient Convolutional Neural Network for Mobile Vision Applications
- 3. [Mobile-Net] MobileNets Efficient Convolutional Neural Networks for Mobile Vision Applications（論文解析）
- 4. （MobileNets）Efficient Convolutional Neural Networks for Mobile Vision Applications論文閱讀筆記
- 5. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 6. 【論文學習】MobileNets：Efficient Convolutional Neural Networks for Mobile Vision Applications
- 7. MobileNets（v1）: Efficient Convolutional Neural Networks for Mobile Vision Applications（2017）論文綜述
- 8. 【論文翻譯】MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications論文筆記
- 10. Paper Reading：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications