MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
本文提出了MobileNets的模型，有助于减少inference的时间，使得其可以在移动端开展运行。最重要的算法为depthwise separable convolutions，是将传统的卷积算法分解为了两步，可以减少卷积的时间复杂度和实际的运行时间。同时为了在移动端更加灵活地应用，文章提出了两个全局的超参数用来权衡latency和accuracy。 相比于其他的将CNN移植到移动端的方法，M
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- 1. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 2. Paper Reading：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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- 4. 论文阅读笔记：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 5. 【论文学习记录】MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 6. 论文阅读——MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 7. 网络小型化MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 8. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications论文笔记
- 9. 论文笔记：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew
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相关文章
- 1. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 2. Paper Reading：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 3. [Mobile-Net] MobileNets Efficient Convolutional Neural Networks for Mobile Vision Applications（论文解析）
- 4. 论文阅读笔记：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 5. 【论文学习记录】MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 6. 论文阅读——MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 7. 网络小型化MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 8. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications论文笔记
- 9. 论文笔记：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew
- 10. Reading Note: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications