AlexNet论文--ImageNet Classification with Deep Convolutional Neural Networks总结
主要标记点 数据集 Caltech-101/256 CIFAR-10/100 标记工具 Amazon’s Mechanical Turk crowd-sourcing tool 数据处理 图片大小不一，统一下采样为256*256：把较短的一边放缩为256，再从中裁剪出256*256大小的图片 主要工作 ReLU激活函数 饱和非线性函数比非饱和非线性函数下降得慢 多块GPU并行 只在某些层存在交叉：
相关文章
- 1. AlexNet论文《ImageNet Classification with Deep Convolutional Neural Networks》总结
- 2. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 4. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 5. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 6. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 7. 【AlexNet】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. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）
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相关文章
- 1. AlexNet论文《ImageNet Classification with Deep Convolutional Neural Networks》总结
- 2. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
- 3. AlexNet——ImageNet Classification with Deep Convolutional Neural Networks
- 4. AlexNet《ImageNet Classification with Deep Convolutional Neural Networks》
- 5. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 6. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
- 7. 【AlexNet】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. 论文ImageNet Classification with Deep Convolutional Neural Networks（Alexnet2012）