Work

The Impact of Varying Batch Sizes on the Deep Neural Network Algorithms Performance

Year: 2024

Type: conference-paper

Source: International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)

DOI: 10.1109/elticom64085.2024.10865356

Authors: Naemah Muharakah, Poltak Sihombing, Syahril Efendi, Fahmi Fahmi

Institution: Universitas Sumatera Utara

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407247710

FWCI:

Cites: 13

Cited by:

Related to: 10