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Modified‎ ‎Step‎ ‎Size‎ ‎for‎ ‎Enhanced‎ ‎Stochastic Gradient Descent‎: ‎Convergence and Experiments

‎This paper introduces a novel approach to enhance the performance of the stochastic gradient descent (SGD) algorithm by incorporating a modified decay step size based on $\frac{1}{\sqrt{t}}$‎. ‎The proposed step size integrates a logarithmic term‎, ‎leading to the selection of smaller values in the...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Mahsa Soheil shamaee, Sajad Fathi Hafshejani
Hōputu: Artigo
Reo:Inglês
I whakaputaina: University of Kashan 2024-09-01
Rangatū:Mathematics Interdisciplinary Research
Ngā marau:
Urunga tuihono:https://mir.kashanu.ac.ir/article_114474_dde1b8da8db0067c294448415069d8b8.pdf
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