AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks
按照Andrew Ng的推薦順序，首先精讀了這篇論文，以下記錄一些文章中的關鍵點。 卷積層： 5層 全連接層： 3層 參數個數： 60M 神經元個數： 650k 分類數目： 1000類 網絡尺寸： 輸入層：227x227x3（論文中說明的是224x224x3應該不太對）--> c1卷積層：96個11x11x3，padding=0，stride=4，p1池化層：3x3，stride=2 C1輸出：2
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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. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 4. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 5. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 6. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 7. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 8. AlexNet--ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet : ImageNet Classification with Deep Convolutional Neural Networks
- 10. ImageNet Classification with Deep Convolutional Neural Networks