JavaShuo
欄目
標籤
Trained Ternary Quantization
時間 2020-12-20
原文
原文鏈接
本文是在TWQ(Ternary Weight Quantization)的基礎上做出的改進,其流程可以簡單概括爲: 首先將全精度權重正則化到[-1,1]之間,然後根據一個每層相同的閾值t來進行量化(這裏使用統一的t是爲了縮小搜索空間,用每個通道不同的t應該能得到更好的表現,但感覺會增加過多的計算消耗)爲-1,0和1,最後分別乘以Wn和Wp作爲結果計算loss,再通過梯度下降更新Wn、Wp和原始梯度
>>阅读原文<<
相關文章
1.
TRAINED TERNARY QUANTIZATION 論文
2.
三值網絡--Trained Ternary Quantization
3.
Ternary Neural Networks with Fine-Grained Quantization
4.
(筆記)網絡壓縮量化,訓練三值量化TRAINED TERNARY QUANTIZATION
5.
Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
6.
2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
7.
A perceptual quantization strategy for HEVC based on a convolutional neural network trained on natur
8.
Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
9.
【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
10.
deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
更多相關文章...
相關標籤/搜索
ternary
trained
quantization
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.
[最佳實踐]瞭解 Eolinker 如何助力遠程辦公
2.
katalon studio 安裝教程
3.
精通hibernate(harness hibernate oreilly)中的一個」錯誤「
4.
ECharts立體圓柱型
5.
零拷貝總結
6.
6 傳輸層
7.
Github協作圖想
8.
Cannot load 32-bit SWT libraries on 64-bit JVM
9.
IntelliJ IDEA 找其歷史版本
10.
Unity3D(二)遊戲對象及組件
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.
TRAINED TERNARY QUANTIZATION 論文
2.
三值網絡--Trained Ternary Quantization
3.
Ternary Neural Networks with Fine-Grained Quantization
4.
(筆記)網絡壓縮量化,訓練三值量化TRAINED TERNARY QUANTIZATION
5.
Deep Compression : Compressing Deep Neual Networks With Pruning, Trained Quantization And Huffman Co
6.
2018-22Deep Compression: Compression Deep Neural Networks With Pruning, Trained Quantization And...
7.
A perceptual quantization strategy for HEVC based on a convolutional neural network trained on natur
8.
Compression Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding
9.
【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
10.
deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
>>更多相關文章<<