ImageNet Classification with Deep Convolutional Neural Networks全文翻譯
ImageNet Classification with Deep Convolutional Neural Networks 摘要 咱們訓練了一個大型深度卷積神經網絡來將ImageNet LSVRC-2010數據集中的120萬張高清圖片分到1000個不一樣的類別中。在測試數據中，咱們將Top-1錯誤和Top-5錯誤分別降到了37.5%和17.0%，這比以前的技術水平要好得多。這個神經網絡擁有
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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 2. ImageNet Classification with Deep Convolutional Neural Networks
- 3. 論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 4. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 5. 《ImageNet Classification with Deep Convolutional Neural Network》
- 6. alexnet筆記（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 -- 解讀
- 10. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）