Trained Ternary Quantization
本文是在TWQ(Ternary Weight Quantization)的基础上做出的改进，其流程可以简单概括为： 首先将全精度权重正则化到[-1,1]之间，然后根据一个每层相同的阈值t来进行量化(这里使用统一的t是为了缩小搜索空间，用每个通道不同的t应该能得到更好的表现，但感觉会增加过多的计算消耗)为-1，0和1，最后分别乘以Wn和Wp作为结果计算loss，再通过梯度下降更新Wn、Wp和原始梯度
相关文章
- 1. TRAINED TERNARY QUANTIZATION 论文
- 2. 三值网络--Trained Ternary Quantization
- 3. Ternary Neural Networks with Fine-Grained Quantization
- 4. （笔记）网络压缩量化，训练三值量化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】论文笔记
- 10. deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi
- 更多相关文章...
相关标签/搜索
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. Appium入门
- 2. Spring WebFlux 源码分析(2)-Netty 服务器启动服务流程 --TBD
- 3. wxpython入门第六步（高级组件）
- 4. CentOS7.5安装SVN和可视化管理工具iF.SVNAdmin
- 5. jedis 3.0.1中JedisPoolConfig对象缺少setMaxIdle、setMaxWaitMillis等方法，问题记录
- 6. 一步一图一代码，一定要让你真正彻底明白红黑树
- 7. 2018-04-12—（重点）源码角度分析Handler运行原理
- 8. Spring AOP源码详细解析
- 9. Spring Cloud（1）
- 10. python简单爬去油价信息发送到公众号
欢迎关注本站公众号,获取更多信息
相关文章
- 1. TRAINED TERNARY QUANTIZATION 论文
- 2. 三值网络--Trained Ternary Quantization
- 3. Ternary Neural Networks with Fine-Grained Quantization
- 4. （笔记）网络压缩量化，训练三值量化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】论文笔记
- 10. deep compression:compressing deep neural networks with pruning,trained quantization and huffman codi