Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
论文： Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units 代码 ：https://github.com/albanie/CReLU 1. 背景 论文作者在 AlexNet 的模型上做了一个有趣的实验，发现：低层的卷积层中的一些滤波器核存在着负相关程度很
相关文章
- 1. Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units阅读笔
- 2. Understanding and Visualizing Convolutional Neural Networks
- 3. Understanding Convolutional Neural Networks for NLP
- 4. [转] Understanding Convolutional Neural Networks for NLP
- 5. A Beginner's Guide To Understanding Convolutional Neural Networks - Part 2
- 6. Visualizing and Understanding Convolutional Networks
- 7. ReLu(Rectified Linear Units)激活函数
- 8. Improving Deep Neural Networks
- 9. 【转】A Beginner's Guide To Understanding Convolutional Neural Networks
- 10. Visualizing and Understanding Convolutional Networks阅读笔记
- 更多相关文章...
- • W3C RDF and OWL 活动 - W3C 教程
- • XSL-FO table-and-caption 对象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法总结-股票买卖
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. Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units阅读笔
- 2. Understanding and Visualizing Convolutional Neural Networks
- 3. Understanding Convolutional Neural Networks for NLP
- 4. [转] Understanding Convolutional Neural Networks for NLP
- 5. A Beginner's Guide To Understanding Convolutional Neural Networks - Part 2
- 6. Visualizing and Understanding Convolutional Networks
- 7. ReLu(Rectified Linear Units)激活函数
- 8. Improving Deep Neural Networks
- 9. 【转】A Beginner's Guide To Understanding Convolutional Neural Networks
- 10. Visualizing and Understanding Convolutional Networks阅读笔记