Dissecting deep learning networks—Visualizing mutual information

Dissecting deep learning networks—Visualizing mutual information

Deep Learning (DL) networks are recent revolutionary developments in artificial intelligence research. Typical networks are stacked by groups of layers that are further composed of many convolutional kernels or neurons. In network design, many hyper-parameters need to be defined heuristically before...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui Fang, Victoria Wang, Motonori Yamaguchi
Format: Default Article
Published: 2018
Subjects:
Other information and computing sciences not elsewhere classified
Deep learning
Convolutional neural networks
Information theory
Mutual information
Visualization
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/36577
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hdl.handle.net/2134/36577

Similar Items