AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
1. 摘要 本文的模型採用了 5 層的卷積，一些層後面還緊跟着最大池化層，和 3 層的全連接，最後是一個 1000 維的 softmax 來進行分類。 爲了減少過擬合，在全連接層採取了 dropout，實驗結果證明非常有效。 2. 數據集 ImageNet 數據集包含了超過 15,000,000 大約 22,000 類標記好的高分辨率圖片，ILSVRC 包含 ImageNet 中 1000 類每類
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- 1. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 2. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 3. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 4. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 5. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 6. AlexNet--ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet : ImageNet Classification with Deep Convolutional Neural Networks
- 8. ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks
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相關文章
- 1. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 2. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 3. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 4. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 5. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 6. AlexNet--ImageNet Classification with Deep Convolutional Neural Networks
- 7. AlexNet : ImageNet Classification with Deep Convolutional Neural Networks
- 8. ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks