(2) [NeurIPS12] ImageNet Classification with Deep Convolutional Neural Networks
计划完成深度学习入门的126篇论文第二篇，摘自多伦多大学Alex Krizhevskyh和Geoffrey Hinton合著发表在NeurIPS2012的论文，同时也算是2012年ImageNet的冠军得主论文。 摘要Abstract 论文做者训练了一个大型深度卷积神经网络来对120万的高分别率图片作1000分类，而且优于以前的精度记录。使用了6000万个参数以及65万个神经单元。在前五层神经网络
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相关文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
- 2. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
- 3. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 4. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 5. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 6. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 7. 读文献——《ImageNet classification with deep convolutional neural networks》
- 8. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 9. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet : ImageNet Classification with Deep Convolutional Neural Networks