Training with Quantization Noise for Extreme Model Compression
https://arxiv.org/pdf/2004.07320.pdf 論文的核心思想以下：web 針對上圖進行實例分析： 如對卷積層weight爲（64,64,3，3）進行量化網絡 設置centroids數目如（32,9）其中9表示3*3卷積核的flatten 經過k-means進行選取centroids 以後進行編碼（codebook），生成三個矩陣：svg centroids=（32,9）
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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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