论文阅读:ImageNet Classifification with Deep Convolutional Neural Networks
论文阅读：ImageNet Classifification with Deep Convolutional Neural Networks 1.背景与意义 大规模现实图像数据集的识别与分类是一个巨大的挑战，一方面，模型的学习能力需要进一步提升；另一方面，带标签的现实图像数据集依旧难以获取，尽管用于ILSVRC竞赛的ImageNet数据集图像数量巨大，种类繁多，但是在极为复杂的模型下也不免会产
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相关文章
- 1. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 2. 读文献——《ImageNet classification with deep convolutional neural networks》
- 3. 《ImageNet Classification with Deep Convolutional Neural Networks》论文阅读
- 4. 论文阅读：ImageNet Classification with Deep Convolutional Neural Networks
- 5. ImageNet Classification with Deep Convolutional Neural Networks
- 6. ImageNet Classification with Deep Convolutional Neural Networks
- 7. ImageNet Classification with Deep Convolutional Neural Networks -- 解读
- 8. AlexNet论文阅读【ImageNet Classification with Deep Conventional Neural Networks】
- 9. ImageNet Classification With Deep Convolutional Neural Networks阅读笔记
- 10. imagenet classification with deep convolutional neural networks(alexnet)阅读总结