imagenet classification with deep convolutional neural networks(alexnet)閱讀總結
文章目錄 1.數據集 2.創新點 👉2.1 ReLU非線性 👉2.2 多GPU訓練 2.3 局部響應歸一化 2.4重疊池化 👉2.5 數據增強 👉2.6 DropOut 3 網絡結構 4 結果分析 4.1 top-1和top-5錯誤 4.2 定量分析 1.數據集 ImageNet：1500萬張圖片，2.2萬類別 ILSVRC比賽數據集：ImageNet的一個子集，1000個類別，每個類別大
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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. 《ImageNet Classification with Deep Convolutional Neural Network》
- 3. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 4. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 5. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 6. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
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