ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
ImageNet Classification with Deep Convolutional Neural Networks（Alexnet） 1.創新的地方 （1）使用ReLu函數作爲CNN的激活函數 （2）使用dropout防止過擬合 （3）使用重疊最大池化 （4）提出了LRN層 2.摘要 （1）提出了一個深度卷積網絡，在ImageNet LSVRC2010，top1和top5錯誤分別是37
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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. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 4. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 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. 《ImageNet Classification with Deep Convolutional Neural Network》
- 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. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 4. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 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. 《ImageNet Classification with Deep Convolutional Neural Network》
- 10. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks