EconPapers    
Economics at your fingertips  
 

Convolutional Neural Networks Applied to Modification of Images

Carlos I. Aguirre-Velez (), José Antonio Arciniega-Nevárez () and Eric Dolores-Cuenca ()
Additional contact information
Carlos I. Aguirre-Velez: Instituto Politécnico Nacional CICATA U. Legaria
José Antonio Arciniega-Nevárez: Universidad de Guananjuato, División de Ingenierías
Eric Dolores-Cuenca: Yonsei University, Department of Mathematics

A chapter in Handbook of Visual, Experimental and Computational Mathematics, 2026, pp 31-53 from Springer

Abstract: Abstract The reader will learn how digital images are edited using linear algebra and calculus. The topics include filters and machine learning techniques such as convolutional neural networks.

Keywords: Machine learning; Artificial intelligence; Convolutional neural networks; Diffusion models (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-16368-4_5

Ordering information: This item can be ordered from
http://www.springer.com/9783032163684

DOI: 10.1007/978-3-032-16368-4_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-19
Handle: RePEc:spr:sprchp:978-3-032-16368-4_5