Hyperparameter optimisation for Capsule Networks

Hyperparameter optimisation for Capsule Networks

Convolutional Neural Networks and its contemporary variants have proven to be ruling benchmarks for most image processing tasks but resort to pooling techniques and routing mechanisms that affect classification accuracy and lose spatial relationship information between involved data points. Hence, Hin...

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Bibliographic Details
Main Authors: Gagana B, S Natarajan
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2019-03-01
Series:EAI Endorsed Transactions on Cloud Systems
Subjects:
hyperparameter optimisation
stochastic numeric healthcare data
capsule networks
relu
performance benchmarks
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.158416

Internet

https://eudl.eu/pdf/10.4108/eai.13-7-2018.158416

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