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Experimental Comparison of Stochastic Optimizers in Deep Learning · Peerford

conference paper · Publication · 2019

Experimental Comparison of Stochastic Optimizers in Deep Learning

Emmanuel Okewu, Philip Adewole, Oladipupo Sennaike

Lecture notes in computer science

Closed access

Go to the publisher 10.1007/978-3-030-24308-1_55

Citations: 32from other works
Field-weighted impact: 1.651.00 is the world average for its field and year
Among its field: 89th percentileby citations, against works of its field and year
Authors: 3from 1 institution

Authors

3 authors

Emmanuel OkewuFirst authorCorresponding
- University of Lagos (NG)
Philip Adewole
- University of Lagos (NG)
Oladipupo SennaikeSenior author
- University of Lagos (NG)

Development goals

9Industry, innovation and infrastructure

Country

Nigeria

Fields

A work can sit in several, each with a score

Stochastic Gradient Optimization TechniquesTopic

Advanced Neural Network ApplicationsTopic

Machine Learning and ELMTopic