ImageNet classification with deep convolutional neural networks阅读笔记
ImageNet classification with deep convolutional neural networks阅读笔记 作者：Alex Krizhevsky 所以该论文的模型也叫AlexNet NIPS顶会文章 Abstract （1）提出了一个深度卷积网络，在ImageNet LSVRC2010，top1和top5错误分别是37.5%、17.0%，远远好于之前的表现。 （2）神经
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- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
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- 4. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet阅读笔记
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 6. 读文献——《ImageNet classification with deep convolutional neural networks》
- 7. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 8. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
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相关文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. ImageNet Classification With Deep Convolutional Neural Networks阅读笔记
- 4. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet阅读笔记
- 5. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 6. 读文献——《ImageNet classification with deep convolutional neural networks》
- 7. 论文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）翻译