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