On Learning and Learned Data Representation by Capsule Networks

On Learning and Learned Data Representation by Capsule Networks

Capsule networks (CapsNet) are recently proposed neural network models containing newly introduced processing layer, which are specialized in entity representation and discovery in images. CapsNet is motivated by a view of parse tree-like information processing mechanism and employs an iterative rou...

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Bibliographic Details
Main Authors: Ancheng Lin, Jun Li, Zhenyuan Ma
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Capsule network
deep neural network
interpretable learning
representation learning
Online Access:https://ieeexplore.ieee.org/document/8692359/

Internet

https://ieeexplore.ieee.org/document/8692359/

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