ImageNet Classification with Deep Convolutional Neural Networks
Abstract 我们训练了一个大型的深度卷积神经网络，将ImageNet LSVRC-2010比赛中的120万个高分辨率图像分类为1000个不同的类别。在测试数据上，我们实现了前三和前五的错误率分别为37.5％和17.0％，这比以前的最新技术水平要好得多。具有6000万个参数
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- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 4. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 5. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 6. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 8. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 9. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 10. 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. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 4. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 5. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 6. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 8. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 9. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet--ImageNet Classification with Deep Convolutional Neural Networks