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...

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Bibliographic Details
Main Authors: Hui Fang, Victoria Wang, Motonori Yamaguchi
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Entropy
Subjects:
deep learning
convolutional neural networks
information theory
mutual information
visualization
Online Access:https://www.mdpi.com/1099-4300/20/11/823

Internet

https://www.mdpi.com/1099-4300/20/11/823

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