論文閱讀——EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Abstract 卷積神經網絡常受限於計算資源，如果資源足夠的情況下可通過縮放網絡進一步提升網絡性能。本文則系統性的研究瞭如何平衡網絡深度、寬度、分辨率綜合性對網絡進行縮放，提升網路哦性能。
基於前期試驗結果提出了複合縮放策略（Compound sca
相關文章
- 1. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 3. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 6. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks-文獻閱讀筆記
- 7. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 論文筆記
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相關文章
- 1. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 3. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 6. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks-文獻閱讀筆記
- 7. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 論文筆記