【论文阅读】韩松《Efficient Methods And Hardware For Deep Learning》节选《Deep compression》
Trained Quantization and Deep Compression 本章内容来在ICLR 2016论文《Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding》。 DeepCompression由剪枝、量化和变长编码组成，它可将神经
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相关文章
- 1. 【论文阅读】韩松《Efficient Methods And Hardware For Deep Learning》节选《Learning both Weights and Connections 》
- 2. 【韩松博士毕业论文】Efficient methods and hardware for deep learning
- 3. 韩松博士毕业论文Efficient methods and hardware for deep learning论文详解
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- 5. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 6. 论文阅读-《Learning Deep Features for Discriminative Localization》
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- 8. 【论文阅读】Deep Residual Learning for Image Recognition
- 9. 论文阅读——Deep Residual Learning for Image Recognition
- 10. Machine Learning & Deep Learning 论文阅读笔记