EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
本次介紹一篇Google投稿與ICML 2019的工作：EfficientNet。 對網絡進行縮放可以提升模型準確率，常見的方法有三種: 深度(#layers) \ 寬度(#channels) \ 輸入分辨率。這三種縮放按照何種比例進行縮放能達到更好的效果尚未研究。作者三種縮放等比例進行縮放最佳，在提升精度的同時可以降低模型參數量。在ImageNet上的性能如圖 方法 作者指出，三個可縮放的影響因
相關文章
- 1. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 3. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. EfficientNet 《EfficientNet:Rethinking model scaling for convolutional neural networks》
- 6. (DL Classification)Review: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 7. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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相關文章
- 1. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks（2019）
- 2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 3. [ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 4. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 5. EfficientNet 《EfficientNet:Rethinking model scaling for convolutional neural networks》
- 6. (DL Classification)Review: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 7. 論文閱讀：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 8. [論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
- 10. 【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks