Weighted-Entropy-based Quantization for Deep Neural Networks

时间 2020-12-24

标签深度学习压缩繁體版

原文原文链接

论文：Weighted-Entropy-based Quantization for Deep Neural Networks 论文链接这是CVPR2017的一篇文文章，是用基于weight entropy做深度学习模型quantization的模型压缩和加速算法。深度学习模型压缩和加速是近年来的一个研究热点，也是将深度学习模型部署到移动端的必经之路，一方面要压缩模型的大小，减少存储，另一方面

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1. Weighted-Entropy-based Quantization for Deep Neural Networks
2. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
3. LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
4. Deep Neural Networks for Object Detection
5. Aggregated Residual Transformations for Deep Neural Networks
6. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
7. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
8. deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
9. Ternary Neural Networks with Fine-Grained Quantization
10. Improving Deep Neural Networks
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1. Weighted-Entropy-based Quantization for Deep Neural Networks
2. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
3. LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
4. Deep Neural Networks for Object Detection
5. Aggregated Residual Transformations for Deep Neural Networks
6. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
7. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
8. deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
9. Ternary Neural Networks with Fine-Grained Quantization
10. Improving Deep Neural Networks

>>更多相关文章<<