ASPLOS'17论文导读——SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

时间 2021-01-02

标签硬件算法随机计算 Stochastic ASPLOS 栏目 Scala 繁體版

原文原文链接

今年去参加了ASPLOS 2017大会，这个会议总体来说我感觉偏系统和偏软一点，涉及硬件的相对少一些，对我这个喜欢算法以及硬件架构的菜鸟来说并不算非常契合。中间记录了几篇相对比较有趣的paper，今天简单写一篇。 SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing 单位作者：我

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1. ASPLOS'17论文导读——SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing
2. 论文阅读《Edge Detection Using Convolutional Neural Network》
3. Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network，2017论文
4. Stochastic Computing + Quantization
5. Deep Convolutional Neural Network Architecture
6. ISSCC 2017论文导读 Session 14 Deep Learning Processors，A 2.9TOPS/W Deep Convolutional Neural Network
7. 论文阅读-----DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Networks
8. 【论文阅读笔记】Heartbeat classification using deep residual convolutional neural network from 2-lead electr
9. 【论文研读】Relation Classification via Convolutional Deep Neural Network
10. 【论文阅读笔记】Relation Classiﬁcation via Convolutional Deep Neural Network

>>更多相关文章<<