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The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study

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Bibliographic Details
Main Authors: Esraa, Hassan, Mahmoud Y., Shams, Noha A., Hikal
Format: Book
Language:English
Published: Springer 2023
Subjects:
SGD
Optimization algorithms
Online Access:https://link.springer.com/article/10.1007/s11042-022-13820-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8324
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spelling oai:localhost:PNK-83242023-04-26T03:54:25Z The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study Esraa, Hassan Mahmoud Y., Shams Noha A., Hikal SGD Optimization algorithms CC BY Optimization algorithms are used to improve model accuracy. The optimization process undergoes multiple cycles until convergence. A variety of optimization strategies have been developed to overcome the obstacles involved in the learning process. Some of these strategies have been considered in this study to learn more about their complexities. It is crucial to analyse and summarise optimization techniques methodically from a machine learning standpoint since this can provide direction for future work in both machine learning and optimization. The approaches under consideration include the Stochastic Gradient Descent (SGD), Stochastic Optimization Descent with Momentum, Rung Kutta, Adaptive Learning Rate, Root Mean Square Propagation, Adaptive Moment Estimation, Deep Ensembles, Feedback Alignment, Direct Feedback Alignment, Adfactor, AMSGrad, and Gravity. prove the ability of each optimizer applied to machine learning models 2023-04-26T03:54:25Z 2023-04-26T03:54:25Z 2023 Book https://link.springer.com/article/10.1007/s11042-022-13820-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8324 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic SGD
Optimization algorithms
spellingShingle SGD
Optimization algorithms
Esraa, Hassan
Mahmoud Y., Shams
Noha A., Hikal
The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
description CC BY
format Book
author Esraa, Hassan
Mahmoud Y., Shams
Noha A., Hikal
author_facet Esraa, Hassan
Mahmoud Y., Shams
Noha A., Hikal
author_sort Esraa, Hassan
title The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
title_short The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
title_full The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
title_fullStr The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
title_full_unstemmed The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
title_sort effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11042-022-13820-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8324
_version_ 1764268034239758336
score 8.891787

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