Building and predicting a neural network in python

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Bibliographische Detailangaben
Titel: Building and predicting a neural network in python
Autoren: Zulunov Ravshan, Akhundjanov Umidjon, Musayev Khurshid, Soliyev Bakhrom, Kayumov Ahror, Asraev Mukhammadmullo
Quelle: E3S Web of Conferences, Vol 508, p 04005 (2024)
Verlagsinformationen: EDP Sciences
Publikationsjahr: 2024
Bestand: Directory of Open Access Journals: DOAJ Articles
Schlagwörter: artificial intelligence, python libraries, neural network, prediction, regression, Environmental sciences, GE1-350
Beschreibung: The article examines the practical implementation of Artificial Intelligence technologies, Machine Learning and Deep Learning technologies. Methods of construction and prediction of neural networks are considered using special libraries of Python language. Linear regression and NumPy it is suggested to use libraries.
Publikationsart: article in journal/newspaper
Sprache: English
French
Relation: https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/38/e3sconf_greenenergy2024_04005.pdf; https://doaj.org/toc/2267-1242; https://doaj.org/article/37f453ba552f4aa582e353b7b0f42b6a
DOI: 10.1051/e3sconf/202450804005
Verfügbarkeit: https://doi.org/10.1051/e3sconf/202450804005
https://doaj.org/article/37f453ba552f4aa582e353b7b0f42b6a
Dokumentencode: edsbas.E8BD464
Datenbank: BASE
Beschreibung
Abstract:The article examines the practical implementation of Artificial Intelligence technologies, Machine Learning and Deep Learning technologies. Methods of construction and prediction of neural networks are considered using special libraries of Python language. Linear regression and NumPy it is suggested to use libraries.
DOI:10.1051/e3sconf/202450804005