ImageNet Classification with Deep Convolutional Neural Networks（Alexnet）
ImageNet Classification with Deep Convolutional Neural Networks（Alexnet） 1.创新的地方 （1）使用ReLu函数作为CNN的激活函数 （2）使用dropout防止过拟合 （3）使用重叠最大池化 （4）提出了LRN层 2.摘要 （1）提出了一个深度卷积网络，在ImageNet LSVRC2010，top1和top5错误分别是37
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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. 【AlexNet】ImageNet Classification with Deep Convolutional Neural Networks
- 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. 《ImageNet Classification with Deep Convolutional Neural Network》
- 10. AlexNet解析：ImageNet Classification with Deep Convolutional Neural Networks