論文閱讀——FPGA based Accelerators ofDeep Learning Networks for Learning andClassification:A Review
論文閱讀之FPGA硬件加速Review FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review 時間：2019 本文聚焦於使用FPGA進行CNN的加速，主要總結了近期深度學習框架的FPGA加速器，希望能爲深度學習研究者研究有效的硬件加速器指明方向。 關鍵詞主要有：自適應框
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相關文章
- 1. 論文閱讀 Prototypical Networks for Few-shot Learning
- 2. 論文《Matching Networks for One Shot Learning》閱讀
- 3. 論文閱讀：A Critical Review of Recurrent Neural Networks for Sequence Learning
- 4. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 5. Machine Learning & Deep Learning 論文閱讀筆記
- 6. 《Review Sentiment Analysis Based on Deep Learning》論文閱讀筆記
- 7. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 8. 論文解讀A Critical Review od Recurrent Neural Networks for Sequence Learning
- 9. 論文閱讀02 Unsupervised Feature Learning for RGB-D Based Object Recognition
- 10. 論文閱讀Adaptive Subspaces for Few-Shot Learning