论文阅读理解 - ResNeXt - Aggregated Residual Transformations for DNN

时间 2020-12-30

标签 ResNeXt ResNet 繁體版

原文原文链接

ResNeXt - Aggregated Residual Transformations for Deep Neural Networks [Paper] [Code-Torch] [Code-PyTorch] [Code-Keras] [Code-Caffe] [Code-Tensorflow] 摘要：高度模块化的网络结构，用于图像分类；通过重复 build block 来构建网络，每个

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

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