Training with Quantization Noise for Extreme Model Compression
https://arxiv.org/pdf/2004.07320.pdf 論文的核心思想如下： 針對上圖進行實例分析： 如對卷積層weight爲（64,64,3，3）進行量化 設置centroids數目如（32,9）其中9表示3*3卷積核的flatten 通過k-means進行選取centroids 之後進行編碼（codebook），生成三個矩陣： centroids=（32,9） assignm
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相關文章
- 1. Training with Quantization Noise for Extreme Model Compression
- 2. 神經網絡參數量化，模型壓縮論文筆記Training with Quantization Noise for Extreme Model Compression
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- 7. 【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
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