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

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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Multimedia tools and applications Ročník 82; číslo 11; s. 16591 - 16633
Hlavní autoři:	Hassan, Esraa, Shams, Mahmoud Y., Hikal, Noha A., Elmougy, Samir
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.05.2023 Springer Nature B.V
Témata:	Accuracy Adaptive learning Algorithms Alignment Cancer Comparative studies Computed tomography Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Datasets Feedback Machine learning Medical imaging Model accuracy Multimedia Information Systems Optimization Optimization techniques Propagation Skin cancer Special Purpose and Application-Based Systems Training Rung Kutta optimization Medical images Optimization algorithm Deep ensembles Stochastic gradient decent
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!