AlexNet论文阅读【ImageNet Classification with Deep Conventional Neural Networks】

时间 2020-12-24

标签论文阅读神经网络 AI换脸繁體版

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论文题目和原文地址：ImageNet Classification with Deep Convolutional Neural Networksvolu 卷积在三通道上的操作一般来说有几个卷积核，最终得到的featuremap就有几个。三通道的图片对应的卷积核也是三通道的，三个通道分别卷积之后对应位置相加填在featuremap中。比如上图中最右边的3就是通过三个通道卷积之后得到的。池化也

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1. alexnet笔记（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）翻译
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)阅读总结
10. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet阅读笔记
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1. alexnet笔记（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）翻译
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)阅读总结
10. ImageNet Classification with Deep Convolutional Neural Networks-AlexNet阅读笔记

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