論文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
一、論文關鍵點 1.神經網絡在有了算力更好的gpu與更大的數據集合（ILSVRC和imagenet）後會取得更好的效果。 2.網絡超參數(人爲設定的，非機器自學習到的參數，如batchsize,weight decay,learning rate,epoches)的設置，權重及偏置的初始化(卷積核初始化方式：均值爲0方差爲1的高斯分佈；偏置初始化方式：2,4,5卷積層及全連接層初始化爲1，剩餘層初
相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 3. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 4. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 5. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 6. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 8. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 9. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 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. 讀文獻——《ImageNet classification with deep convolutional neural networks》
- 3. alexnet筆記（ImageNet Classification with Deep Convolutional Neural Networks）
- 4. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 5. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 6. ImageNet Classification with Deep Convolutional Neural Networks -- 解讀
- 7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻譯
- 8. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 9. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet--ImageNet Classification with Deep Convolutional Neural Networks