ImageNet Classification with Deep Convolutional Neural Networks全文翻译
ImageNet Classification with Deep Convolutional Neural Networks 摘要 咱们训练了一个大型深度卷积神经网络来将ImageNet LSVRC-2010数据集中的120万张高清图片分到1000个不一样的类别中。在测试数据中，咱们将Top-1错误和Top-5错误分别降到了37.5%和17.0%，这比以前的技术水平要好得多。这个神经网络拥有
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相关文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 2. ImageNet Classification with Deep Convolutional Neural Networks
- 3. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 4. 读文献——《ImageNet classification with deep convolutional neural networks》
- 5. 《ImageNet Classification with Deep Convolutional Neural Network》
- 6. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 7. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 8. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 9. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 10. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）