论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）

时间 2020-12-23

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文章目录 1、论文总述 2、vgg/resnet 与 Inception系列网络设计机制的不同点 3、ResNeXt并不是ensembling 4、两个设计准则 5、split-transform-merge的本质 6、BN和Relu的位置 1、论文总述这篇论文提出的网络是resnet的升级版，设计思想结合了vgg/resnet 的stacking building blocks 以及 Ince

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1. 【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
2. ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
3. CNN--ResNeXt--Aggregated Residual Transformations for Deep Neural Networks
4. Aggregated Residual Transformations for Deep Neural Networks
5. 论文笔记——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
6. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》论文笔记
7. 《2017-Aggregated Residual Transformations for Deep Neural Networks》论文阅读
8. [论文阅读]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks
9. 【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻译
10. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks
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1. 【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
2. ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
3. CNN--ResNeXt--Aggregated Residual Transformations for Deep Neural Networks
4. Aggregated Residual Transformations for Deep Neural Networks
5. 论文笔记——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
6. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》论文笔记
7. 《2017-Aggregated Residual Transformations for Deep Neural Networks》论文阅读
8. [论文阅读]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks
9. 【ResNeXt】Aggregated Residual Transformations for Deep Neural Networks (2017) 全文翻译
10. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks

>>更多相关文章<<