ImageNet Classification with Deep Convolutional Neural Networks
Abstract 我們訓練了一個大型的深度卷積神經網絡，將ImageNet LSVRC-2010比賽中的120萬個高分辨率圖像分類爲1000個不同的類別。在測試數據上，我們實現了前三和前五的錯誤率分別爲37.5％和17.0％，這比以前的最新技術水平要好得多。具有6000萬個參數
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- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. 論文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 -- 解讀
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 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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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. 論文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 -- 解讀
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 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