论文阅读-Fast Algorithms for Convolutional Neural Networks

时间 2021-06-02

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Title Fast Algorithms for Convolutional Neural Networks Abstract 现如今，人们花费数天的时间在GPU上来训练一个大型的卷积神经网络，在自动驾驶中，对行人检测的延迟要求非常高，手机等移动设备上的图像识别又受限于有限的计算资源，因此,从某种程度上来说，卷积神经网络能发展到什么程度和其运行速度息息相关。一种基于FFT的卷积算法在较大的卷积

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1. 【Fast Algorithms for Convolutional Neural Networks】论文笔记
2. 论文阅读：《Convolutional Neural Networks for Sentence Classification》
3. 论文阅读：Pointwise Convolutional Neural Networks
4. 《Convolutional Neural Networks for Sentence Classification》论文研读
5. 论文阅读：Multi-view Convolutional Neural Networks for 3D Shape Recognition
6. 《Fully Convolutional Networks for Semantic Segmentation》论文阅读
7. 论文阅读：Fully Convolutional Networks for Semantic Segmentation
8. Convolutional Neural Networks for Sentence Classification 阅读笔记
9. Convolutional Neural Networks for Sentence Classification（阅读理解）
10. 论文阅读笔记：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

>>更多相关文章<<