Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets

标题
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets
作者
关键词
Deep neural networks, Handwritten digit classification, Probabilistic quadtrees, Deep belief networks, Sparse feature representation
出版物
NEURAL PROCESSING LETTERS
Volume 45, Issue 3, Pages 855-867
出版商
Springer Nature
发表日期
2016-09-15
DOI
10.1007/s11063-016-9556-4

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now