论文解读: Quantized Convolutional Neural Networks for Mobile Devices

时间 2019-12-11

标签论文解读 quantized convolutional neural networks mobile devices 栏目无线繁體版

原文原文链接

关注SIGAI公众号，获取更多技术文章及资源 PDF全文地址：http://tensorinfinity.com/paper_118.html 论文地址：https://arxiv.org/abs/1512.06473 源码地址：https://github.com/jiaxiang-wu/quantized-cnnhtml CNN网络在许多方面发挥着愈来愈重要的做用，可是CNN模型广泛很大，计算

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1. 【论文阅读笔记】-《Quantized Convolutional Neural Networks for Mobile Devices》
2. 【Quantized Convolutional Neural Networks for Mobile Devices】论文笔记
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4. 【论文阅读笔记】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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6. 【论文阅读】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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9. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
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1. 【论文阅读笔记】-《Quantized Convolutional Neural Networks for Mobile Devices》
2. 【Quantized Convolutional Neural Networks for Mobile Devices】论文笔记
3. 网络量化——Quantized Convolutional Neural Networks for Mobile Devices
4. 【论文阅读笔记】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
5. 论文阅读笔记：ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
6. 【论文阅读】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
7. MobileNets -Efficient Convolutional Neural Networks for Mobile Vision Applications 论文解读
8. [Mobile-Net] MobileNets Efficient Convolutional Neural Networks for Mobile Vision Applications（论文解析）
9. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
10. 《Convolutional Neural Networks for Sentence Classification》论文研读

>>更多相关文章<<