【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
网络架构 这是论文中的图 PS：这个图的input尺寸应该是标错了？？227*227*3吧？？ 上图中，其实能明显地看出上面一层和下面一层。上下两层各由一个GPU进行计算（其实是硬件条件补星2333）。这两个GPU只在固定的几层之间进行交流。 一个易于计算的示意图 网络总共的层数为8层，5层卷积，3层全连接层。 简化的图 也有人理解成模块 其中前5模块四卷积模块，用于提取图片特征，后3个模
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- 1. alexnet笔记（ImageNet Classification with Deep Convolutional Neural Networks）
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- 4. ImageNet Classification with Deep Convolutional Neural Networks （AlexNet）翻译
- 5. ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
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相关文章
- 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. ImageNet Classification with Deep Convolutional Neural Networks
- 9. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 10. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks