JavaShuo
欄目
標籤
Training with Quantization Noise for Extreme Model Compression
時間 2020-07-16
標籤
training
quantization
noise
extreme
model
compression
简体版
原文
原文鏈接
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)
>>阅读原文<<
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
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.
論文閱讀《A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising》CVPR2020
7.
【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
8.
【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
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
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
•
算法總結-股票買賣
相關標籤/搜索
compression
extreme
quantization
noise
training
model
flink training
noise+salt
with+this
with...connect
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
FM理論與實踐
2.
Google開發者大會,你想知道的都在這裏
3.
IRIG-B碼對時理解
4.
乾貨:嵌入式系統設計開發大全!(萬字總結)
5.
從域名到網站—虛機篇
6.
php學習5
7.
關於ANR線程阻塞那些坑
8.
android studio databinding和include使用控件id獲取報錯 不影響項目正常運行
9.
我女朋友都會的安卓逆向(四 動態調試smali)
10.
io存取速度
本站公眾號
歡迎關注本站公眾號,獲取更多信息
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
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.
論文閱讀《A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising》CVPR2020
7.
【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
8.
【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
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
>>更多相關文章<<