Theory of deep convolutional neural networks: Downsampling

标题
Theory of deep convolutional neural networks: Downsampling
作者
关键词
Deep learning, Convolutional neural networks, Approximation theory, Downsampling, Filter masks
出版物
NEURAL NETWORKS
Volume 124, Issue -, Pages 319-327
出版商
Elsevier BV
发表日期
2020-01-26
DOI
10.1016/j.neunet.2020.01.018

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

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