读文献——《ImageNet classification with deep convolutional neural networks》

时间 2021-01-19

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1、Introduction 当前的对象识别方法中，必不可少的的属机器学习了，而以前万级别的图像数据库已经做得很好了，现在百万级的数据的数据库产生，例如LabelMe, ImageNet。所以开始这数百万级的对象识别研究。 However, the immense complexity of the object recognition task means that this problem c

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1. ImageNet Classification with Deep Convolutional Neural Networks
2. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
3. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
4. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
5. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
6. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
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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1. ImageNet Classification with Deep Convolutional Neural Networks
2. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
3. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
4. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
5. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
6. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
7. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
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

>>更多相关文章<<