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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