論文閱讀理解 - 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： 高度模塊化的網絡結構，用於圖像分類； 通過重複 build block 來構建網絡，每個
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相關文章
- 1. 【論文閱讀】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）
- 2. 論文閱讀：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》論文閱讀
- 5. ResNeXt - Aggregated Residual Transformations for Deep Neural Networks
- 6. Aggregated Residual Transformations for Deep Neural Networks
- 7. 論文筆記——Aggregated Residual Transformations for Deep Neural Networks(ResNeXt)
- 8. 《ResNeXt: Aggregated Residual Transformations for Deep Neural Networks》論文筆記
- 9. 論文閱讀: ResNeXt
- 10. [論文閱讀]ResNetXt|Aggregated Residual Transformations for Deep Neural Networks