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A Survey on Capsule Networks

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dc.contributor.author Mehta, Anusha
dc.contributor.author Parmar, Viral D
dc.date.accessioned 2019-11-21T16:24:05Z
dc.date.available 2019-11-21T16:24:05Z
dc.date.issued 2019-06-06
dc.identifier.isbn 9781786354273
dc.identifier.uri http://library.ediindia.ac.in:8181/xmlui//handle/123456789/9723
dc.description.abstract In today’s digital era, machine intelligence is equally as important as human intelligence. The emergence of deep learning techniques makes machine intelligence tasks easier and better. Deep convolutional neural networks are prominent in tasks of object detection, image classification, object segmentation, and so on. Recently, Hinton and his team introduced a new architecture called capsule networks. Capsule networks replace the neurons with capsules and overcome spatial and rotational invariance limitations of convolutional neural networks. This paper defines the introduction and working of capsule networks with related work in the field of capsule network. en_US
dc.language.iso en en_US
dc.publisher Emerald Group Publishing en_US
dc.subject Capsule networks en_US
dc.subject Convolutional neural networks en_US
dc.subject Routing algorithm en_US
dc.subject Deep learning en_US
dc.title A Survey on Capsule Networks en_US
dc.type Article en_US


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