论文阅读《Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks》
本文提出一种新的设定，开始和以前一样，使用一个预训练的大网络来指导一个更窄更快的小网络训练，但是用来训练的数据是新的并且标签信息有限，所以这个场景包括了不同数据域的自适应和模型压缩 加入了一个知识投影矩阵，是学习得到的，选择大模型的某处中间层，经过投影，加入到小模型的某处，这个过程也是学习的 整个模型的系统如下 KNOWLEDGE PROJECTION NETWORK 知识投影网络 1、overv
相关文章
- 1. Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks论文初读
- 2. 论文阅读：Deep Neural Networks for Object Detection
- 3. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 4. 《Deep Back-Projection Networks For Super-Resolution》论文阅读之DBPN
- 5. [论文笔记]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
- 6. 论文阅读——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 7. 论文阅读：Bag of Freebies for Training Object Detection Neural Networks
- 8. 【论文阅读笔记】---《A Survey of Model Compression and Acceleration for Deep Neural Networks》
- 9. [论文解读] Concolic Testing for Deep Neural Networks
- 10. 论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • C# 文本文件的读写 - C#教程
- • RxJava操作符（七）Conditional and Boolean
- • JDK13 GA发布：5大特性解读
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。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks论文初读
- 2. 论文阅读：Deep Neural Networks for Object Detection
- 3. 论文阅读：Aggregated Residual Transformations for Deep Neural Networks（ResNeXt）
- 4. 《Deep Back-Projection Networks For Super-Resolution》论文阅读之DBPN
- 5. [论文笔记]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
- 6. 论文阅读——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 7. 论文阅读：Bag of Freebies for Training Object Detection Neural Networks
- 8. 【论文阅读笔记】---《A Survey of Model Compression and Acceleration for Deep Neural Networks》
- 9. [论文解读] Concolic Testing for Deep Neural Networks
- 10. 论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection