论文阅读：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

时间 2020-12-31

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文章目录 1、论文总述 2、compound scaling method方法的合理性 3、给定计算资源后确定α, β, γ（即compound scaling method的流程） 4、EfficientNet-B0的来源和主要组成部分 5、EfficientNets指标 6、EfficientNets激活可视化参考文献 1、论文总述本篇论文的出发点是将分类模型的大小和效率放在一起考虑，希望

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1. 论文阅读——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-文献阅读笔记
7. [论文解读]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
8. 【论文解读】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)论文笔记
10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文笔记
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1. 论文阅读——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-文献阅读笔记
7. [论文解读]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
8. 【论文解读】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)论文笔记
10. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 论文笔记

>>更多相关文章<<