AlexNet論文閱讀【ImageNet Classification with Deep Conventional Neural Networks】
論文題目和原文地址：ImageNet Classification with Deep Convolutional Neural Networksvolu 卷積在三通道上的操作 一般來說有幾個卷積核，最終得到的featuremap就有幾個。三通道的圖片對應的卷積核也是三通道的，三個通道分別卷積之後對應位置相加填在featuremap中。比如上圖中最右邊的3就是通過三個通道卷積之後得到的。 池化 也
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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. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 6. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 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 networks(alexnet)閱讀總結
- 10. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet閱讀筆記