A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks

Patel, S., Wang, Y., Zatarain, O., Graves, D., Gavrilova, M., and Howard, N. (2018). A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks. Paper presented at IEEE International Conferenece on Cognitive Informatics & Cognitive Computing, Berkeley, California, USA, 16 July 2018 - 18 July 2018. IEEE.

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Keywords: Sequence learning, neural networks, deep neural networks, recurrent neural networks, analytic methodologies, denotational mathematics, cognitive systems, visual sequence learning, language sequence learning
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > Engineering > Computing and Informatics
Date Deposited: 10 Jul 2018 10:32
Creators:
CreatorsORCID
Patel, S
Wang, Y
Zatarain, O
Graves, D
Gavrilova, M
Howard, N
Item Type: Conference or Workshop Item (Paper)
Creators: Patel, S and Wang, Y and Zatarain, O and Graves, D and Gavrilova, M and Howard, N
Depositing User: LSBU Open Access Team
Last Modified: 26 Nov 2018 14:01
Item ID: 2278

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