A study on deep learning algorithms and architectures

dc.contributor.author	PANDEY, Abhishek
dc.contributor.author	RAMESH, V.
dc.date.accessioned	2021-09-02T12:43:00Z
dc.date.available	2021-09-02T12:43:00Z
dc.date.issued	2021
dc.identifier.citation	PANDEY, Abhishek, RAMESH, V. A study on deep learning algorithms and architectures. In: Actual problems of mathematics and informatics: proc. of International Symposium dedicated to the 90th Birthday of Professor Ion Valuţă, 27 - 28 Nov. 2020, TUM, Chişinău, Republic of Moldova, 2021, p. 117. ISBN 978-9975-45-677-7.	en_US
dc.identifier.isbn	978-9975-45-677-7
dc.identifier.uri	http://repository.utm.md/handle/5014/16879
dc.description.abstract	This review presented different types of deep architectures such as deep convolution networks, deep residual networks, recurrent neural networks, reinforcement learning, variational autoencoders etc. This study explained various deep neural networks, well-known training algorithms and architectures. This review also highlightedt heir shortcomings, e.g., getting stuck in the local minima, overfitting and training time for large problems ets	en_US
dc.language.iso	en	en_US
dc.publisher	Technical University of Moldova	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	learning algorithms	en_US
dc.subject	networks	en_US
dc.title	A study on deep learning algorithms and architectures	en_US
dc.type	Article	en_US