Training with Quantization Noise for Extreme Model Compression

时间 2020-07-16

标签 training quantization noise extreme model compression 繁體版

原文原文链接

https://arxiv.org/pdf/2004.07320.pdf 论文的核心思想以下：web 针对上图进行实例分析：如对卷积层weight为（64,64,3，3）进行量化网络设置centroids数目如（32,9）其中9表示3*3卷积核的flatten 经过k-means进行选取centroids 以后进行编码（codebook），生成三个矩阵：svg centroids=（32,9）

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1. Training with Quantization Noise for Extreme Model Compression
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7. 【论文阅读笔记】Deep Neural Network Compression with Single and Multiple Level Quantization
8. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
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1. Training with Quantization Noise for Extreme Model Compression
2. 神经网络参数量化，模型压缩论文笔记Training with Quantization Noise for Extreme Model Compression
3. Model Compression and Acceleration Overview
4. Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
5. 2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
6. 论文阅读《A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising》CVPR2020
7. 【论文阅读笔记】Deep Neural Network Compression with Single and Multiple Level Quantization
8. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
9. Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
10. 【2】Model Compression As Constrained Optimization, with Application to Neural Nets. 2017

>>更多相关文章<<