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A study on deep learning algorithms and architectures

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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


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