论文阅读——FPGA based Accelerators ofDeep Learning Networks for Learning andClassification:A Review

时间 2020-12-30

标签 FPGA 繁體版

原文原文链接

论文阅读之FPGA硬件加速Review FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review 时间：2019 本文聚焦于使用FPGA进行CNN的加速，主要总结了近期深度学习框架的FPGA加速器，希望能为深度学习研究者研究有效的硬件加速器指明方向。关键词主要有：自适应框

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1. 论文阅读 Prototypical Networks for Few-shot Learning
2. 论文《Matching Networks for One Shot Learning》阅读
3. 论文阅读：A Critical Review of Recurrent Neural Networks for Sequence Learning
4. 论文阅读笔记《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
5. Machine Learning & Deep Learning 论文阅读笔记
6. 《Review Sentiment Analysis Based on Deep Learning》论文阅读笔记
7. 论文阅读：《Wide & Deep Learning for Recommender Systems》
8. 论文解读A Critical Review od Recurrent Neural Networks for Sequence Learning
9. 论文阅读02 Unsupervised Feature Learning for RGB-D Based Object Recognition
10. 论文阅读Adaptive Subspaces for Few-Shot Learning

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