JavaShuo
栏目
标签
On the Number of Linear Regions of Deep Neural Networks
时间 2020-12-30
原文
原文链接
文献来源:Montufar G F, Pascanu R, Cho K, et al. On the number of linear regions of deep neural networks[C]//Advances in neural information processing systems. 2014: 2924-2932. https://papers.nips.cc/paper
>>阅读原文<<
相关文章
1.
论文《On the Number of Linear Regions of Deep Neural Networks》翻译
2.
Exploring the teaching of deep learning in neural networks
3.
Xavier——Understanding the difficulty of training deep feedforward neural networks
4.
The Unreasonable Effectiveness of Recurrent Neural Networks
5.
ICLR2014_Intriguing properties of neural networks
6.
On the difficulty of training Recurrent Neural Networks
7.
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
8.
CV:翻译并解读2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
9.
Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
10.
Applications of Graph Neural Networks
更多相关文章...
•
XSLT
元素
-
XSLT 教程
•
XSLT
元素
-
XSLT 教程
•
为了进字节跳动,我精选了29道Java经典算法题,带详细讲解
•
JDK13 GA发布:5大特性解读
相关标签/搜索
for...of
for..of
dp of dp
networks
regions
neural
linear
number
deep
191.number
Spring教程
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.
android 以太网和wifi共存
2.
没那么神秘,三分钟学会人工智能
3.
k8s 如何 Failover?- 每天5分钟玩转 Docker 容器技术(127)
4.
安装mysql时一直卡在starting the server这一位置,解决方案
5.
秋招总结指南之“性能调优”:MySQL+Tomcat+JVM,还怕面试官的轰炸?
6.
布隆过滤器了解
7.
深入lambda表达式,从入门到放弃
8.
中间件-Nginx从入门到放弃。
9.
BAT必备500道面试题:设计模式+开源框架+并发编程+微服务等免费领取!
10.
求职面试宝典:从面试官的角度,给你分享一些面试经验
本站公众号
欢迎关注本站公众号,获取更多信息
相关文章
1.
论文《On the Number of Linear Regions of Deep Neural Networks》翻译
2.
Exploring the teaching of deep learning in neural networks
3.
Xavier——Understanding the difficulty of training deep feedforward neural networks
4.
The Unreasonable Effectiveness of Recurrent Neural Networks
5.
ICLR2014_Intriguing properties of neural networks
6.
On the difficulty of training Recurrent Neural Networks
7.
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
8.
CV:翻译并解读2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
9.
Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
10.
Applications of Graph Neural Networks
>>更多相关文章<<