AlexNet : ImageNet Classification with Deep Convolutional Neural Networks
1.摘要 2010年ImageNet LSVRC -2010競賽中，AlexNet用來在1.2millon高分辨率圖片上辨別1000個類別，並取得了top1,top5錯誤率爲37.5%和17%。取得了當前的最高水平。該網絡使用了60millon參數和650000個神經元，包含5個卷積層 ，3個全連接層。爲了使訓練更加快速，我們使用了非飽和神經元和兩個GPU進行運算。爲了減少過擬合，文
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- 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. 《ImageNet Classification with Deep Convolutional Neural Network》
- 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. 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. 《ImageNet Classification with Deep Convolutional Neural Network》
- 10. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks