ImageNet classification with deep convolutional neural networks閱讀筆記
ImageNet classification with deep convolutional neural networks閱讀筆記 作者：Alex Krizhevsky 所以該論文的模型也叫AlexNet NIPS頂會文章 Abstract （1）提出了一個深度卷積網絡，在ImageNet LSVRC2010，top1和top5錯誤分別是37.5%、17.0%，遠遠好於之前的表現。 （2）神經
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- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. ImageNet Classification With Deep Convolutional Neural Networks閱讀筆記
- 4. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 6. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 7. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 8. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. ImageNet Classification With Deep Convolutional Neural Networks閱讀筆記
- 4. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 6. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 7. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 8. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 10. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯